Comparison between Conventional Network and ANN with Case Study

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 04 Issue: 08 | Aug -2017 www.irjet.net p-ISSN: 2395-0072
© 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1795
Comparison between Conventional Network and ANN with Case Study
Souvik Paul1, Digbijay Guha2, Atrayee Chatterjee3, Samarth Metha4, Ayushi Shah5
1,2 Assistant Professor, BCA Department of The Heritage Academy, West Bengal, India
3 Lecturer, BCA Department of The Heritage Academy, West Bengal, India
4, 5 Student, BCA Department of The Heritage Academy, West Bengal, India
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Abstract – Ad-Hoc Networks are inherently self-forming,
self-arranging and their nodes are freetomovearbitrarilyand
organize themselves at random. Router is a networking device
that sends messages or data packets between computer
networks. Network Bridge is a computer networking
device which makes a single combined network from
multiple communication networks or network segments.
Repeater is an electronic device which receives a signal and
retransmits it. Artificial Neural Networks are computing
systems inspired by the Biological Neural Networks that
constitute animal brains. This paper aims at achieving a
comparative study among Artificial Neural Network, Ad-Hoc
Networks, Router, Bridge, and Repeater. On the basis of that a
case study is generated to test the validation of these.
Key Words: Artificial Neural Network, Ad-Hoc Network,
Router, Bridge, Repeater
1. INTRODUCTION
Ad-Hoc Wireless Networks are inherently self-forming, self-
arranging and self-administering. Thenodesarefreetomove
arbitrarily and organize themselves at random. The biggest
challenge in these kinds of networks is finding the path
between the communication end points of nodes that are
movable. Because of restricted transmission range of
wireless interfaces, the communication traffic has to be
extended over a number of intermediate nodes to facilitate
the communication between two nodes. Thus, these kindsof
networks are also called as multi-hop ad-hoc networks.
Every node acts as both, a host and as a router.
The rapid development in ad hoc technology is widely used
in portable computing such as laptop, mobile phone used to
access the web services, telephone calls when the user arein
travelling.Developmentofself-organizingnetwork decreases
the communication cost. The growth of 4G technologies
enhances anytime, anywhere, anyhow communication in ad
hoc network. Ad hoc network is simple to design and install.
The ad hoc networks are self-forming, self-maintaining, self-
healing architecture. The challenges are, no fixed access
point, dynamic network topology,contrary environmentand
irregular connectivity. Ad hoc network immediately forms
and accommodate the modification and limited power.
The limitation associated with wireless devices is the power
constraint of the nodes i.e. each nodehasonlylimitedbattery
power which should be used judiciously for the node to
survive longer. The principle behindadhocnetwork ismulti-
hop relaying. The use of ad hoc voice communication was
used in many ancient/tribal societieswiththehelpofa string
of repeaters of drums, trumpets, or horns.
The security issue in ad hoc network is dynamic topology,
bandwidth, small device size and limited battery life. Due to
the dynamic nature, it is difficult to maintain secured
transmission in the network (Papadimitratos and Haas,
2002). The ad hoc network does not depend on any pre-
existing infrastructure so that the nodecanleaveandjoin the
network in such a situation where security may fall down.
Two types of attack occur in ad hoc network, first is passive
attack, this attack does not change the transmitted data in
the network. But, it can allow unauthorized user to discover
the message. Second, is active attack, it is a severe attack and
prevents the message flow between the nodeinthe network.
It may allow the unauthorized user to modify the message.
Dropped packet, battery drained, bandwidth consumption,
unreliable packets, delay, connection break andfalserouting
can identify the malicious node.
With the increased number of lightweight devices as well as
evolution in wireless communication, the ad hocnetworking
technology is gaining effort with the increasing number of
widespread applications. Ad hoc networking can be used
anytime, anywhere with limited or no communication
infrastructure. The preceding infrastructure is fancy or
annoying to use. The ad hoc network architecture can be
used in real time business applications,corporatecompanies
to increase the productivity and profit.
The ad hoc networks can be classified according to their
application as Mobile Ad hoc Network (MANET)thatisa self-
arranging infrastructure less network of mobile devices
communicated through wireless link. Vehicular Ad hoc
Network (VANET) uses travelling cars as nodes in a network
to create a mobile network. Wireless Sensor Network (WSN)
consists of autonomoussensorstocontrol the environmental
actions.
The importance of ad hoc network has been highlighted in
many fields which are described below:
 Military Arena: An ad hoc networking will allow the
military battleground to maintain an information

network among the soldiers, vehicles and headquarters
(Bangnan et al., 2003).
 Provincial Level: Ad hoc networkscanbuildinstantlink
betweenmultimedia network usingnotebook computers
or palmtop computers to spread and share information
among participants (e.g. Conferences).
 Personal Area Network: A personal area network is a
short range, localized network where nodes are usually
associated with a given range.
 Industry Sector: Ad hoc network is widely used for
commercial applications. Ad hoc network can also be
used in emergency situation such as disaster relief. The
rapid development of non-existing infrastructure makes
the ad hoc network easily to be used in emergency
situation.
 Bluetooth: Bluetooth can provide short-range
communication between the nodes such as a laptop and
mobile phone.
Fig -1: Wireless Ad Hoc Network
1.1 Network Planning
Network planning is concerned with the cost-effective
deployment of a communication infrastructure to provide
adequate coverage, capacity, and quality for end user
services. This task is traditionally viewed as an operation for
“high-end” networks, examples being 3G cellular networks.
Once deployed, the infrastructure in such networks is
relatively static. In this work, our objective is to investigate
more dynamic service provisioning in more “low-end”
networks, specificallywirelessadhoc networks.Thedefining
characteristic of ad hoc networks is their loose and self-
organized structure, as opposed to the centralized structure
in cellular networks. Two example application scenarios,
where techniques in this paper might be applicable, are
community wireless networks, which are fixed wireless ad
hoc networks formed by wireless LAN devices in a
neighborhood, and ad hoc networks formed by the laptop
computers of participants in a meeting. Abstractly, the
problem of network planning considered in this paper is the
problem of allocating physical and link layer resources, or
supplies, to minimize a cost function while fulfilling certain
transport and application layer communication demands.
1.2 Routing in Ad Hoc Wireless Networks
As the nodes in a wireless ad hoc network can be
connected in a dynamic and arbitrary manner, the nodes
themselves must behave as routers and take part in
discovery and maintenance of routes to other nodes in the
network.
The goal of a routing algorithm is to devise a scheme for
transferring a packet from one node to another. One
challenge is to define/choose which criteria to base the
routing decisions on. Examples of such criteria include hop
length, latency, and bandwidth and transmission power.
Some challenges in designing a routing protocol foradhoc
wireless networks, and a brief overview of these is given
below:
 Mobility: The network needs to adapt to rapid
changes in the topology due to the movement of the
nodes, or the network as a whole.
 Resource Constraints: Nodes in a wireless network
typically have limited battery and processing power,
and these resources must be managed optimally by
the routing protocol.
 Error-Prone Channel State:Thecharacteristicofthe
links in a wireless network typically varies, and these
calls for an interaction between the routing protocol
and the MAC protocol to, if necessary, find alternate
routes.
 Hidden Terminal Problem:
Fig -2: The Hidden Terminal Problem
Node A and C try and communicatewithBsimultaneously,
but cannot detect the interference.

 Exposed Terminal Problem:
Fig -3: The Exposed Terminal Problem
Consider a topology similar to that of Fig-2, but added a
node D only reachable from nodeC.Furthermore,suppose
node B communicates with node A, and node C wants to
transmit a packet to node D. During the transmission
between node B and node A, node C senses the channel as
busy. Node C falsely conclude that it may not send to node
D, even though both the transmissions (i.e., between node
B and node A, and between node C and node D) would
succeed. Bad reception would only occur in the zone
between node B and node C, where neither of the
receivers is located. This problem is often referred to as
``the exposed terminal problem''. Both the hidden and the
exposed terminal problem cause significant reduce of
network throughput when the traffic load is high.
1.3 Table-driven (Proactive) Routing
This type of protocols maintains fresh lists of destinations
and their routes by periodically distributing routing tables
throughout the network.
The main disadvantages of such algorithms are:
 Respective amount of data for maintenance.
 Slow reaction on restructuring and failures.
Examples of proactive algorithms are:
 Optimized Link State Routing Protocol (OLSR) RFC
3626, RFC 7181.
 Babel RFC 6126
 Destination Sequence Distance Vector (DSDV)
 DREAM
 B.A.T.M.A.N.
1.4 On-demand (Reactive) Routing
This type of protocol finds a route on demand by flooding
the network with Route Request packets.
 High latency time in route finding.
 Excessive flooding can lead to network clogging.
Examples of on-demand algorithms are:
 ABR - Associativity-Based Routing
 Ad hoc On-demand Distance Vector(AODV) (RFC
3561)
 Dynamic Source Routing (RFC 4728)
 Flow State in the Dynamic Source Routing
 Power-Aware DSR-based
1.5 Hybrid (both Proactive and Reactive) Routing
This type of protocol combines the advantages of
proactive and reactive routing. The routing is initially
established with some proactively prospected routes and
then serves the demand from additionally activated nodes
through reactive flooding. The choice of one or the other
method requires predetermination for typical cases.
 Advantage depends on number of other nodes
activated.
 Reaction to traffic demand depends on gradient of
traffic volume.
Examples of hybrid algorithms are:
 ZRP (Zone Routing Protocol)
 ZRP uses IARP as pro-active and IERP as reactive
component.
 ZHLS (Zone-based Hierarchical Link State Routing
Protocol)
1.6 Hierarchical Routing Protocols
With this type of protocol the choice of proactive and of
reactive routing depends on the hierarchic level in which a
node resides. The routing is initially established with some
proactively prospected routes and then serves the demand
from additionally activated nodes through reactive flooding
on the lower levels. The choice for one or the other method
requires proper attributation for respective levels.
 Advantage depends on depth of nesting and
addressing scheme.
 Reaction to traffic demand depends on meshing
parameters.

Examples of hierarchical routing algorithms are:
 CBRP (Cluster Based Routing Protocol)
 FSR (Fisheye State Routing protocol)
 Order One Network Protocol; Fast logarithm-of-2
maximum times to contact nodes. Supports large
groups.
 ZHLS (Zone-based Hierarchical Link State Routing
Protocol)
2. ROUTER
A router is a networking device that sends messages or data
packets between computer networks. Routers perform the
traffic directing functions on the Internet. Message or data
packet is sent from one router to another router through the
networks that constitute the internetwork until itreachesits
destination node from the origination node.
A router is connected to two or more data lines from
different networks. When a message or data packetcomesin
on one of the data lines, the router reads the network
address information in the message or data packet to
determine the ultimate destination. Then, using information
in its routing table or routing policy, it directs the packet to
the next network. This creates an overlay internetwork.
Common types of routers are home and small office routers
that simply pass IP packets between the computers and the
Internet. An example of a router is the owner's cable or DSL
router, which connects to the Internet through an Internet
Service Provider (ISP). More complicated routers, such as
enterprise routers, connect large business or ISP networks
up to the powerful core routers that forward data at high
speed along the optical fiber lines of the Internet backbone.
Commonly routersarehardwaredevices,butsoftware-based
routers also available.
A router has two stages of operation called planes:
 Control Plane: A router maintains a routing table
that contains which route is to be used to forward a
data packet, and through which physical interface
connection. It does these operations using internal
pre-configured directives, called static routes, or by
learning routes using a dynamic routing protocol.
Static and dynamic routes are stored in the Routing
Information Base(RIB).Thecontrol-planelogicthen
strips non-essential directives from the RIB and
makes a Forwarding Information Base (FIB) for the
forwarding-plane.
 Forwarding Plane: The router forwards data
packets between incoming and outgoing interface
connections. It routes them to the correct network
type using information that the data packet header
contains. It uses data recorded in the routing table
control plane.
Fig -4: Router
2.1 Types of Router
 Access Router: Access Routers are placed at customer
sites such as branch offices that do not need hierarchical
routing of their own. Typically, they are optimized for
low cost. Examples of such routers are 'small
office/home office' (SOHO) models .Some SOHO routers
are capable of running alternative free Linux-based
firmware like Tomato, OpenWrt or DD-WRT.
 Distribution Router: Distribution Routers combine
traffic from multiple access routers, either at the same
site, or from multiple sites to a majorenterpriselocation.
Distribution routers are often responsible for enforcing
quality of service across a wide area network (WAN), so
they may have sizeable memory installed,multipleWAN
interface connections, and substantial onboard data
processing routines. They may also give connectivity to
groups of file servers or other external networks.
 Core Router: In enterprises, a Core Router may provide
a "collapsed backbone"whichinterconnectsdistribution
tier routers from many buildings of a campus, or huge
enterprise locations. They tend to be optimized for high
bandwidth, but lack some of thefeaturesofedgerouters.
 Edge Router: It is also called a Provider Edge Router
which is positioned at the edge of an ISP network. The
router uses External BGP to EBGP routers in other ISPs,
or a large enterprise Autonomous System.
 Subscriber Edge Router: It is also called a Customer
Edge Router which is located at the edge of the
subscriber's network. It also uses EBGP to its provider's
Autonomous System. It is typically used in an
organization.
 Inter-Provider Border Router: It interconnectsISPs.It
is a BGP router that maintains BGP sessions with other
BGP routers in ISP Autonomous Systems.
 Voice/Data/Fax/Video Processing Routers: These
types of routers are commonly referred to as Access
Servers or Gateways. These devices are used to direct
and process voice, data, video and fax traffic on the
Internet. Since 2005, most long-distance phone calls
have been processed as IP traffic (VOIP) through a voice

gateway. With the advent of the Internet, usages of
access server type routers are expanded. Firstly it is
used with dial-up access and another resurrection with
voice phone service.
 Multilayer Switches: Larger networks commonly use
Multilayer Switches. Layer 3 devices are used to
interconnect multiple subnets within the same security
zone. Higher layer switches are used to
do filtering, translation, load balancing or other higher
level functions especially between zones.
3. BRIDGE
A Network Bridge is a computer networking device which
makes a single combined network from
multiple communication networks or network segments.
This task is called Network Bridging. Bridging is different
from routing. Routing allows multiple different networks to
communicate independently while remaining separate. In
the OSI model, bridging is performed in the first two layers
(Physical Layer, Data Link Layer), below the Network
Layer (layer 3). If one or more segments of the bridged
network are wireless the device is known as a Wireless
Bridge and the task is known as as Wireless Bridging.
Fig -5: A Bridge connecting two LAN segments
3.1 Types of Bridging
 Simple Bridging: A simple bridge connects two network
segments, typically by operating transparently and
deciding on a frame-by-frame basis whether or not to
forward from one network to the other. A store and
forward techniqueistypicallyusedso,duringforwarding,
the frame integrity is verified on the source network
and CSMA/CD delays are accommodated on the
destination network. Contrary to repeaters that simply
extend the maximum span of a segment, bridges only
forward frames that are required to cross the bridge.
Additionally, bridges reduce collisions by partitioning
the collision domain.
 Multiport Bridging: A multiport bridge connects
multiple networks and operates transparently to decide
on a frame-by-frame basis whetherandwheretoforward
traffic. Like the simple bridge,a multiportbridgetypically
uses store and forward operation. The multiport bridge
function serves as the basis for network switches.
 Transparent Bridging: A transparent bridge uses a
forwarding database to send frames across network
segments. The forwarding database starts empty.Entries
in the database are built as the bridge receives frames. If
an address entry is not found in the forwarding database,
the frame is flooded to all other ports of the bridge,
flooding the frame to all segments except the one from
which it was received. By means of these flooded frames,
the destination network will respond and a forwarding
database entry will be created.
 Source Route Bridging: Source route bridging is used
on token ring networks. The operation of the bridge is
simpler and much of the bridging functions are
performed by the end systems, particularly the sources,
giving rise to its name. The source-route bridging
algorithm was developed by IBM and was proposed to
the IEEE 802.5 committee as the means to bridge
between all the LANS.
 Source Route Transparent Bridging: It is a hybrid
of source routing and transparent bridging. It allows
source routing and transparent bridging to coexistonthe
same bridged network by usingsource routingwithhosts
that support it and transparent bridging otherwise.
4. REPEATER
In telecommunications, a Repeater is an electronic device
which receives a signal and retransmits it. Repeaters are
used to enlarge transmissions so that the signal can cover
longer distances or be received on the other side of an
obstruction. Some types of repeaters broadcast an identical
signal, but modify its transmission method.
A wireless repeater or wireless range extender takes an
existing signal from a wireless router or wireless access
point and rebroadcasts it for creating another network.
When two or more hosts have to be connected with one
another and the distance is too lengthy for a direct
connection to be established, a wireless repeater is used to
link the gap.

Fig -6: Repeater
4.1 Types of Repeater
 Telephone Repeater: This is used to enhance the range
of telephone signals in a telephone line. These are most
commonly used in trunk lines that carry long distance
calls. Telephone repeaters were the first type of repeater
and were some of the first applications of amplification.
The development of telephone repeaters between 1900
and 1915 made long distance phone service possible.
However the majority telecommunications cables are
now fiber optic cables which use optical repeaters.
oSubmarine Cable Repeater: It is a type of
telephone repeater which is used in
underwater submarine telecommunications
cables.
 Optical Communication Repeater:Itisusedto enhance
the range of signals in a fiber optic cable. Digital
information travels through a fiberoptic cableintheform
of short pulses of light. An optical communications
repeater usually consists of a phototransistor which
converts the light pulses to an electrical signal,
an amplifier to amplify the power of the signal,
an electronic filter which reshapes the pulses and
a laser which converts the electrical signal to light again
and sends it out the other fiber.
 Radio Repeater: It is used to enlarge the range
of coverage of a radio signal. A radio repeater usually
consists of a radio receiver connected to a radio
transmitter. The received signal is enlarged and
retransmitted, often on another frequency, to provide
coverage beyond the obstacle. Usage of a duplexer can
allow the repeater to use one antenna for both receive
and transmit simultaneously.
o Broadcast Relay Station or
Rebroadcastor or Translator: It isa repeaterused
to expand the coverage of a radio or
television broadcasting station. It consists of a
secondary radio or television transmitter.Thesignal
from the main transmitter often comes over leased
telephone lines or by microwave relay.
o Microwave Relay: It is a point-to-
point telecommunications link which consists of
a microwave receiver thatreceivesinformationover
a beam of microwaves from another relay station
in line-of-sight distance, and a
microwave transmitter which passes the
information on to the next station over another
beam of microwaves. Networks of microwave relay
stations transmit telephone calls, television
programs, and computer data from one city to
another over continent-wide areas.
o Passive Repeater: It is a microwave relay which
consists of a flat metal surface to reflect the
microwave beam in another direction. It is used to
get microwave relay signals over hills and
mountains when it is not required to enlarge the
signal.
o Cellular Repeater: It is a radio repeater to
increase cell phone reception in a limited area. The
device works like a small cellular base station, with
a directional antenna to receive the signal from the
nearest cell tower, an amplifier, and a local antenna
to rebroadcast the signal to nearby cell phones. It is
often used in downtown office buildings.
o Digipeater: It is a repeater node in a packet
radio network. It performs a store and
forward function, passing on packets of information
from one node to another.
5. ANN
Artificial neural networks or connectionist systems are
computing systems inspired by the biological neural
networks that constitute animal brains. Such systems learn
(progressively improve performance) to do tasks by
considering examples, generally without task-specific
programming. For example, in image recognition,theymight
learn to identify images that contain cats by analyzing
example images that have been tagged "cat" or "no cat" and
using the analytic results to identify cats in untaggedimages.
They have found most use in applications difficult to express
in a traditional computer algorithm using rule-based
programming.
An ANN is based on a collection of connected units
called artificial neurons, (analogous to axons in a biological
brain). Each connection (synapse) between neurons can
transmit a unidirectional signal with an activating strength
that varies with the strength of the connection. If the
combined incoming signals (from potentially many
transmitting neurons) are strong enough, the receiving

(postsynaptic) neuron activates and propagatesa signal ofto
downstream neurons connected to it.
Typically, neurons are organized in layers. Signals travel
from the first (input), to the last (output), possibly after
traversing the layers multiple times. In addition to receiving
and sending signals, units may have state, generally
represented by real numbers, typically between 0 and 1. A
threshold or limiting function may govern each connection
and neuron, such that the signal must exceed thelimitbefore
propagating.
Fig -7: Basic ANN Layers
The original goal of the neural network approach was to
solve problems in the same way that a human brain would.
Over time, the goal shifted to matching specific mental
abilities, leading to deviations from biology such as back
propagation.
Neural networks have been used on a variety of tasks,
including computer vision, speech recognition, machine
translation, social network filtering, playing boardandvideo
games, medical diagnosis and in many other domains.
As of 2017, neural networks typically have a fewthousandto
a few million units and millions of connections. Their
computing power is similar to a worm brain several orders
of magnitude simpler than a human brain. Despite this, they
can perform functions (e.g., playing chess) that are far
beyond a worm's capacity.
5.1 ANN Algorithm
The Ann Algorithm has precisely three differentelements:
the input node, the output node and the hidden node.
1) Back Propagation:
The entire algorithm in ANN is based on Back Propagation
meaning that the result of one step has to be back tracked to
its original roots to justify and check if there are any errors.
These nodes functions on the strength of connection.
Stronger the strength, higher is the chances that an error
might pop up.
Precisely speaking, this is the diagrammatic
representation of a neural network.Theinputandtheoutput
nodes are given, and the hidden nodes are those functions
that generate the actual predicted output.
2) Error Handling:
Fig -8: ANN Layers with Parameters
This image signifies the occurrence of the error which is
represented by delta. This delta as we see from the diagram
is back tracked to its initial roots to check for the occurrence
of the error. More the strength and connectivity higher the
chances are for an error to creep in.
5.2 A Case Study
A case study based on breast cancer data set that was
available on Kaggle to predict the form of Cancer that an
individual was having, i.e. Malignant or Benign.
A description about the Data set is given below.
“Features are computed from a digitized image of a fine
needle aspirate (FNA) of a breast mass. They describe
characteristics of the cell nuclei present intheimage.nthe 3-
dimensional space is that described in: [K. P. Bennett and O.
L. Mangasarian:"RobustLinearProgrammingDiscrimination
of Two Linearly Inseparable Sets",OptimizationMethods and
Software 1, 1992, 23-34].

Attribute Information:
1) ID number 2) Diagnosis (M = malignant, B = benign)
3-32)
Ten real-valued features are computed for each cell
nucleus:
a) radius (mean of distances from center to points on the
perimeter) b) texture (standard deviation of gray-scale
values) c) perimeter d) area e)smoothness(local variationin
radius lengths) f) compactness (perimeter^2 / area - 1.0) g)
concavity (severity of concave portions of the contour) h)
concave points (number of concave portions of the contour)
i) symmetry j) fractal dimension("coastlineapproximation" -
1)
The mean, standard error and "worst" or largest (mean of
the three largest values) of these featureswerecomputed for
each image, resulting in 30 features. For instance, field 3 is
Mean Radius, field 13 is Radius SE, and field 23 is Worst
Radius.
All feature values are recoded with four significant digits.
Missing attribute values: none
Class distribution: 357 benign, 212 malignant”
So from the result set neural net on R, with a configurationof
30-8-2-1 to get the desired result and I got an MSE of 0
signifying the perfect execution of the Network.
Fig -9: Four Layered ANN Network

All plotted lines which are best fit to see whether or not
getting a perfect 45 degree line or not for getting best result.
Fig -10: Plotting of Prediction and Test Diagnosis
3. CONCLUSIONS
Repeaters, bridges, and routers are devices which are used
for linking individual LANs together to form larger
internetworks. Repeaters operate at the Physical Layer.
Bridges operate at the Data Link Layer. Routers operate at
the Network Layer. Repeaters listen to all network traffic on
one port and send it back out through one or more ports,
extending smaller networks into a larger, single network. A
repeater simply receives frames, regenerates them, and
passes them along. Bridges join two or more network
segments together, forming a larger individual network.
Bridges function similarlytoa repeater,excepta bridgelooks
to see whether data it receives is destined for the same
segment or another connected segment. If the data is
destined for a computer on the same segment, the bridge
does not pass it along. If that data is going to a computer on
another segment, the bridge sends it along. Bridges use a
routing table to determine whether data is destined for the
local network or not. Bridges cannot join dissimilar
networks. For joining dissimilar networks router must be
used. Routers use the addressinginformationprovidedat the
network level to join many networks together to form an
internetwork. Routers divide larger networks into logically
designed networks. Routers may seem a lot like bridges, but
these are much smarter. Bridges cannot evaluate possible
paths to the destination to determine thebestroute.Thiscan
result in inefficient use of network resources. Bridges also
cannot use redundant paths. While two bridges can connect
two networks, risk of sending packets in an endless loop
between the two networks. This behavior eventually
saturates the network, renders it unusable.
The drawback to a router’s inherent intelligence is their
speed. Because these process so much information, routers
tend to be slower than bridges. Artificial Neural Network is
the real life simulation of the human brain.Thispaperdwells
into decrypting ANN and analyzes the same algorithm on a
data set of Cancer. The advantages of ANN are the detailed
analysis it provides on a varied sets of inputs giving us the
perfect set of results.
REFERENCES
[1] Data CommunicationsandNetworking2007McGraw Hill.
[2] Neural Networks2005
http://www.dkriesel.com/en/science/neural_networks.
[3] Cong Shuang,Toolboxfor MATLABneural network theory
and application,1998 .
[4] About Feed Back Network from website
http://www.idsia.ch/ ~juergen/rnn.html .
[5] Girish Kumar Jha, “Artificial Neural Network and its
Applications”, IARI New Delhi.
[6] Carlos Gershenson, “Artificial Neural Networks for
Beginners”, United kingdom.
[7] Haykin S., “Neural Networks A Comprehensive
Foundation”, 2nd edition, Pearson Education, 1999.

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