Neural Networks, Volume 139

Volume 139, July 2021

Learning Systems

• 
  Alex Bihlo:
  A generative adversarial network approach to (ensemble) weather prediction. 1-16

Mathematical and Computational Analysis

• 
  Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic:
  Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. 17-23

Learning Systems

• 
  Yuanyuan Qing, Yijie Zeng, Qi Cao, Guang-Bin Huang:
  End-to-end novel visual categories learning via auxiliary self-supervision. 24-32
• 
  Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar:
  A fast saddle-point dynamical system approach to robust deep learning. 33-44

Engineering and Applications

• 
  Adithya Krishna, Divyansh Mittal, Siri Garudanagiri Virupaksha, Abhishek Ramdas Nair, Rishikesh Narayanan, Chetan Singh Thakur:
  Biomimetic FPGA-based spatial navigation model with grid cells and place cells. 45-63

Neuroscience

• 
  Junyi Wang, Zhanshan Wang, Xiangyong Chen, Jianlong Qiu:
  Synchronization criteria of delayed inertial neural networks with generally Markovian jumping. 64-76

Neural Networks Letters

• 
  Zhao Zhang, Zemin Tang, Yang Wang, Zheng Zhang, Choujun Zhan, Zhengjun Zha, Meng Wang:
  Dense Residual Network: Enhancing global dense feature flow for character recognition. 77-85

Engineering and Applications

• 
  George J. Shannon, Nagasharath Rayapati, Steven M. Corns, Donald C. Wunsch II:
  Comparative study using inverse ontology cogency and alternatives for concept recognition in the annotated National Library of Medicine database. 86-104
• 
  Siddhant Gupta, Ankur T. Patil, Mirali Purohit, Mihir Parmar, Maitreya Patel, Hemant A. Patil, Rodrigo Capobianco Guido:
  Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments. 105-117

Learning Systems

• 
  Piotr S. Maciag, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser:
  Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks. 118-139
• 
  Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
  Knowledge graph embedding with shared latent semantic units. 140-148
• 
  Zebin Yang, Hengtao Zhang, Agus Sudjianto, Aijun Zhang:
  An effective SteinGLM initialization scheme for training multi-layer feedforward sigmoidal neural networks. 149-157
• 
  Jung-Jun Kim, Dong-Gyu Lee, Jialin Wu, Honggyu Jung, Seong-Whan Lee:
  Visual question answering based on local-scene-aware referring expression generation. 158-167
• 
  Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu:
  Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. 168-178

Cognitive Science

• 
  Hiroyuki Kambara, Atsushi Takagi, Haruka Shimizu, Toshihiro Kawase, Natsue Yoshimura, Nicolas Schweighofer, Yasuharu Koike:
  Computational reproductions of external force field adaption without assuming desired trajectories. 179-198
• 
  Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic:
  Deep neural network representation and Generative Adversarial Learning. 199-200

Learning Systems

• 
  Xiaoxiao Miao, Ian McLoughlin, Wenchao Wang, Pengyuan Zhang:
  D-MONA: A dilated mixed-order non-local attention network for speaker and language recognition. 201-211

Engineering and Applications

• 
  Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown:
  Semi-dilated convolutional neural networks for epileptic seizure prediction. 212-222

Mathematical and Computational Analysis

• 
  Guang Ling, Ming-Feng Ge, Xinghua Liu, Gaoxi Xiao, Qingju Fan:
  Stochastic quasi-synchronization of heterogeneous delayed impulsive dynamical networks via single impulsive control. 223-236

Engineering and Applications

• 
  Li Liu, Mingxue Yang, Xinyi Gao, Qingsong Liu, Zhengxi Yuan, Jun Zhou:
  Keyword spotting techniques to improve the recognition accuracy of user-defined keywords. 237-245
• 
  Zelong Kong, Nian Zhang, Xinping Guan, Xinyi Le:
  Detecting slender objects with uncertainty based on keypoint-displacement representation. 246-254

Mathematical and Computational Analysis

• 
  Yufeng Zhou, Hao Zhang, Zhigang Zeng:
  Synchronization of memristive neural networks with unknown parameters via event-triggered adaptive control. 255-264

Learning Systems

• 
  Shantian Yang, Bo Yang, Zhongfeng Kang, Lihui Deng:
  IHG-MA: Inductive heterogeneous graph multi-agent reinforcement learning for multi-intersection traffic signal control. 265-277

Mathematical and Computational Analysis

• 
  Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss:
  Quantifying the separability of data classes in neural networks. 278-293

Learning Systems

• 
  David Castillo-Bolado, Cayetano Guerra-Artal, Mario Hernández-Tejera:
  Design and independent training of composable and reusable neural modules. 294-304

Cognitive Science

• 
  Gasper Begus:
  CiwGAN and fiwGAN: Encoding information in acoustic data to model lexical learning with Generative Adversarial Networks. 305-325

Engineering and Applications

• 
  Zeyu Zhao, Weiqiang Zhang:
  End-to-end keyword search system based on attention mechanism and energy scorer for low resource languages. 326-334

Mathematical and Computational Analysis

• 
  Xia Li, Huaiqin Wu, Jinde Cao:
  Synchronization in finite time for variable-order fractional complex dynamic networks with multi-weights and discontinuous nodes based on sliding mode control strategy. 335-347

Learning Systems

• 
  Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong:
  Block-cyclic stochastic coordinate descent for deep neural networks. 348-357

Mathematical and Computational Analysis

• 
  Lihui Deng, Bo Yang, Zhongfeng Kang, Shantian Yang, Shihu Wu:
  A noisy label and negative sample robust loss function for DNN-based distant supervised relation extraction. 358-370