Skip to main content
Springer Nature Link
Account

Bio-Inspired Systems: Computational and Ambient Intelligence

10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Joan Cabestany

    1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación., , , ,, Barcelona, Spain

  2. Francisco Sandoval

    1. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Málaga, Spain

  3. Alberto Prieto

    1. Department of Computer Architecture and Computer Technology, University of Granada, Spain

  4. Juan M. Corchado

    1. Department of Informatics, University of Salamanca, Salamanca, Spain

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5517)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: IWANN 2009.

  • 348k Accesses

  • 15 Citations

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, books and news in related subjects.

Table of contents (167 papers)

  1. Front Matter

    Download chapter PDF

  2. Theoretical Foundations and Models

    1. Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks

      • José L. Montaña, Cruz E. Borges
      Pages 1-8

    2. A Wavelet Based Method for Detecting Multiple Encoding Rhythms in Neural Networks

      • Carlos Aguirre, Pedro Pascual
      Pages 9-16

    3. Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise

      • Jorge F. Mejias, Joaquin J. Torres, Samuel Johnson, Hilbert J. Kappen
      Pages 17-23

    4. Gradient Like Behavior and High Gain Design of KWTA Neural Networks

      • Daniela Danciu, Vladimir Răsvan
      Pages 24-32

    5. Fast Evaluation of Connectionist Language Models

      • F. Zamora-Martínez, M. J. Castro-Bleda, S. España-Boquera
      Pages 33-40

    6. Improving the Consistency of AHP Matrices Using a Multi-layer Perceptron-Based Model

      • Jose Antonio Gomez-Ruiz, Marcelo Karanik, José Ignacio Peláez
      Pages 41-48

    7. Global and Local Modelling in Radial Basis Functions Networks

      • L. J. Herrera, H. Pomares, I. Rojas, A. Guillén, G. Rubio, J. Urquiza
      Pages 49-56

    8. A Preliminar Analysis of CO2RBFN in Imbalanced Problems

      • M. D. Pérez-Godoy, A. J. Rivera, A. Fernández, M. J. del Jesus, F. Herrera
      Pages 57-64

    9. Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints

      • V. Van Belle, K. Pelckmans, J. A. K. Suykens, S. Van Huffel
      Pages 65-72

    10. A Simple Maximum Gain Algorithm for Support Vector Regression

      • Álvaro Barbero, José R. Dorronsoro
      Pages 73-80

    11. Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes

      • Julián Luengo, Francisco Herrera
      Pages 81-88

    12. Self-estimation of Data and Approximation Reliability through Neural Networks

      • Leonardo M. Reyneri, Valentina Colla, Mirko Sgarbi, Marco Vannucci
      Pages 89-96

    13. FPGA Implementations Comparison of Neuro-cortical Inspired Convolution Processors for Spiking Systems

      • A. Linares-Barranco, R. Paz, F. Gómez-Rodríguez, A. Jiménez, M. Rivas, G. Jiménez et al.
      Pages 97-105

  3. Learning and Adaptation

    1. Nonparametric Location Estimation for Probability Density Function Learning

      • Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, María Carmen Vargas-González
      Pages 106-113

    2. An Awareness-Based Artificial Neural Network for Cooperative Distributed Environments

      • Mauricio Paletta, Pilar Herrero
      Pages 114-121

    3. Improving Classification under Changes in Class and Within-Class Distributions

      • Rocío Alaiz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro
      Pages 122-130

    4. Improving Training in the Vicinity of Temporary Minima

      • Ido Roth, Michael Margaliot
      Pages 131-139

    5. Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlation

      • Adel Daouzli, Sylvain Saïghi, Michelle Rudolph, Alain Destexhe, Sylvie Renaud
      Pages 140-148

    6. Adaptative Resonance Theory Fuzzy Networks Parallel Computation Using CUDA

      • M. Martínez-Zarzuela, F. J. Díaz Pernas, A. Tejero de Pablos, M. Antón Rodríguez, J. F. Díez Higuera, D. Boto Giralda et al.
      Pages 149-156
Back to top

Other volumes

  1. Bio-Inspired Systems: Computational and Ambient Intelligence

  2. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living

Editors and Affiliations

  • Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación., , , ,, Barcelona, Spain

    Joan Cabestany

  • Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Málaga, Spain

    Francisco Sandoval

  • Department of Computer Architecture and Computer Technology, University of Granada, Spain

    Alberto Prieto

  • Department of Informatics, University of Salamanca, Salamanca, Spain

    Juan M. Corchado

Accessibility Information

Accessibility information for this book is coming soon. We're working to make it available as quickly as possible. Thank you for your patience.

Bibliographic Information

Keywords

Publish with us

Policies and ethics

Back to top