Neural Networks, Volume 153

Volume 153, September 2022

Engineering and Applications

• 
  Hongsong Wen, Xing He, Tingwen Huang:
  Sparse signal reconstruction via recurrent neural networks with hyperbolic tangent function. 1-12

Reviews

• 
  Timothy Rupprecht, Yanzhi Wang:
  A survey for deep reinforcement learning in markovian cyber-physical systems: Common problems and solutions. 13-36

Engineering and Applications

• 
  Zicong Chen, Jianhui Wang, Tao Zou, Kemao Ma, Qinruo Wang:
  Adaptive 2-bits-triggered neural control for uncertain nonlinear multi-agent systems with full state constraints. 37-48

Mathematical and Computational Analysis

• 
  Linyan Gu, Lihua Yang, Feng Zhou:
  Approximation properties of Gaussian-binary restricted Boltzmann machines and Gaussian-binary deep belief networks. 49-63

Engineering and Applications

• 
  Ning Tan, Peng Yu, Shen Liao, Zhenglong Sun:
  Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints. 64-75
• 
  Runze Zheng, Yuanmeng Feng, Tianlei Wang, Jiuwen Cao, Duanpo Wu, Tiejia Jiang, Feng Gao:
  Scalp EEG functional connection and brain network in infants with West syndrome. 76-86

Mathematical and Computational Analysis

• 
  Ahmet Yilmaz, Riccardo Poli:
  Successfully and efficiently training deep multi-layer perceptrons with logistic activation function simply requires initializing the weights with an appropriate negative mean. 87-103

Learning Systems

• 
  Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim:
  Graph Transformer Networks: Learning meta-path graphs to improve GNNs. 104-119
• 
  Lang He, Prayag Tiwari, Chonghua Lv, Wenshuai Wu, Liyong Guo:
  Reducing noisy annotations for depression estimation from facial images. 120-129

Mathematical and Computational Analysis

• 
  Ying Yu, Fang Han, Qingyun Wang:
  Exploring phase-amplitude coupling from primary motor cortex-basal ganglia-thalamus network model. 130-141
• 
  Xinqi Li, Jun Wang, Sam Kwong:
  Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines. 142-151

Neuroscience

• 
  Aidi Liu, Hui Zhao, Qingjié Wang, Sijie Niu, Xizhan Gao, Chuan Chen, Lixiang Li:
  A new predefined-time stability theorem and its application in the synchronization of memristive complex-valued BAM neural networks. 152-163

Mathematical and Computational Analysis

• 
  Antonino Marciano, Deen Chen, Filippo Fabrocini, Chris Fields, Enrico Greco, Niels Gresnigt, Krid Jinklub, Matteo Lulli, Kostas Terzidis, Emanuele Zappala:
  Quantum Neural Networks and Topological Quantum Field Theories. 164-178
• 
  Guo-Shun Wang, Dansheng Yu, Ping Zhou:
  Neural network interpolation operators optimized by Lagrange polynomial. 179-191
• 
  Caicai Zheng, Cheng Hu, Juan Yu, Haijun Jiang:
  Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays. 192-203

Learning Systems

• 
  Bo Jiang, Si Chen, Beibei Wang, Bin Luo:
  MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks. 204-214
• 
  Fuchang Gao, Yiqing Ma, Boyu Zhang, Min Xian:
  SepNet: A neural network for directionally correlated data. 215-223
• 
  Feihu Huang, Shangqian Gao:
  Riemannian gradient methods for stochastic composition problems. 224-234

Reviews

• 
  Dongrui Wu, Xue Jiang, Ruimin Peng:
  Transfer learning for motor imagery based brain-computer interfaces: A tutorial. 235-253

Learning Systems

• 
  Qingyan Meng, Shen Yan, Mingqing Xiao, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo:
  Training much deeper spiking neural networks with a small number of time-steps. 254-268

Mathematical and Computational Analysis

• 
  Yunfei Yang, Zhen Li, Yang Wang:
  Approximation in shift-invariant spaces with deep ReLU neural networks. 269-281

Learning Systems

• 
  Gallil Maimon, Lior Rokach:
  A universal adversarial policy for text classifiers. 282-291
• 
  Jun Wang, Chang Tang, Xiao Zheng, Xinwang Liu, Wei Zhang, En Zhu:
  Graph regularized spatial-spectral subspace clustering for hyperspectral band selection. 292-302
• 
  Qamar Alfalouji, Piergiorgio Sartor, Pietro Zanuttigh:
  Reframing control methods for parameters optimization in adversarial image generation. 303-313
• 
  Jinshi Yu, Tao Zou, Guoxu Zhou:
  Online subspace learning and imputation by Tensor-Ring decomposition. 314-324
• 
  Nahiyan Malik, Danilo Bzdok:
  From YouTube to the brain: Transfer learning can improve brain-imaging predictions with deep learning. 325-338
• 
  Rohit Venugopal, Noman Shafqat, Ishwar Venugopal, Benjamin Mark John Tillbury, Harry Demetrios Stafford, Aikaterini Bourazeri:
  Privacy preserving Generative Adversarial Networks to model Electronic Health Records. 339-348

Cognitive Science

• 
  Lucas Rebelo Dal'Bello, Jun Izawa:
  Computational role of exploration noise in error-based de novo motor learning. 349-372

Learning Systems

• 
  Chunwei Tian, Yixuan Yuan, Shichao Zhang, Chia-Wen Lin, Wangmeng Zuo, David Zhang:
  Image super-resolution with an enhanced group convolutional neural network. 373-385
• 
  Danilo Avola, Luigi Cinque, Alessio Fagioli, Gian Luca Foresti:
  SIRe-Networks: Convolutional neural networks architectural extension for information preservation via skip/residual connections and interlaced auto-encoders. 386-398

Engineering and Applications

• 
  Man-Fai Leung, Jun Wang, Hangjun Che:
  Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization. 399-410

Mathematical and Computational Analysis

• 
  Beichuan Deng, Yeonjong Shin, Lu Lu, Zhongqiang Zhang, George Em Karniadakis:
  Approximation rates of DeepONets for learning operators arising from advection-diffusion equations. 411-426

Engineering and Applications

• 
  Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, Hao Wang, Tong Xu, Enhong Chen, Cuntai Guan:
  ME-PLAN: A deep prototypical learning with local attention network for dynamic micro-expression recognition. 427-443

Neural Networks Letters

• 
  Atsushi Kodama, Kouji Kimura, Kô Sakai:
  Dimensionality of the intermediate-level representation of shape and texture in monkey V4. 444-449

Mathematical and Computational Analysis

• 
  Wei Huang, Zhilei Xu, Liehuang Zhu:
  The minimum regret path problem on stochastic fuzzy time-varying networks. 450-460

Learning Systems

• 
  Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis:
  Single-layer vision transformers for more accurate early exits with less overhead. 461-473
• 
  Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
  Modularity-aware graph autoencoders for joint community detection and link prediction. 474-495
• 
  M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
  Oblique and rotation double random forest. 496-517
• 
  Kanchan Keisham, Amin Jalali, Minho Lee:
  Online action proposal generation using spatio-temporal attention network. 518-529
• 
  Jason A. Platt, Stephen G. Penny, Timothy A. Smith, Tse-Chun Chen, Henry D. I. Abarbanel:
  A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics. 530-552

Mathematical and Computational Analysis

• 
  Yuesheng Xu, Haizhang Zhang:
  Convergence of deep convolutional neural networks. 553-563

Learning Systems

• 
  Zhikai Yao, Jianyong Yao:
  Toward reliable designs of data-driven reinforcement learning tracking control for Euler-Lagrange systems. 564-575