Neural Networks, Volume 98

Volume 98, February 2018

Learning Systems

• 
  Saad Mohamad, Moamar Sayed Mouchaweh, Abdelhamid Bouchachia:
  Active learning for classifying data streams with unknown number of classes. 1-15

Engineering and Applications

• 
  Marcin Wozniak, Dawid Polap:
  Adaptive neuro-heuristic hybrid model for fruit peel defects detection. 16-33

Learning Systems

• 
  Jicong Fan, Jieyu Cheng:
  Matrix completion by deep matrix factorization. 34-41

Neuroscience

• 
  Yihong Wang, Xuying Xu, Rubin Wang:
  Intrinsic sodium currents and excitatory synaptic transmission influence spontaneous firing in up and down activities. 42-50

Mathematical and Computational Analysis

• 
  Gang Bao, Zhigang Zeng, Yanjun Shen:
  Region stability analysis and tracking control of memristive recurrent neural network. 51-58
• 
  He Huang, Tingwen Huang, Xiaoping Chen:
  Reduced-order state estimation of delayed recurrent neural networks. 59-64

Neuroscience

• 
  Jiejie Chen, Boshan Chen, Zhigang Zeng:
  Global Uniform Asymptotic Fixed Deviation Stability and Stability for Delayed Fractional-order Memristive Neural Networks with Generic Memductance. 65-75

Learning Systems

• 
  Naoki Masuyama, Chu Kiong Loo, Farhan Dawood:
  Kernel Bayesian ART and ARTMAP. 76-86
• 
  Ali Nedaie, Amir Abbas Najafi:
  Support vector machine with Dirichlet feature mapping. 87-101

Engineering and Applications

• 
  Lin Xiao, Bolin Liao, Shuai Li, Ke Chen:
  Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations. 102-113

Learning Systems

• 
  Bin Gu:
  A regularization path algorithm for support vector ordinal regression. 114-121

Mathematical and Computational Analysis

• 
  Wengui Yang, Wenwu Yu, Jinde Cao, Fuad E. Alsaadi, Tasawar Hayat:
  Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen-Grossberg BAM neural networks with impulses. 122-153

Learning Systems

• 
  Fabio Massimo Zennaro, Ke Chen:
  Towards understanding sparse filtering: A theoretical perspective. 154-177
• 
  Jia Cai, Yi Tang:
  A new randomized Kaczmarz based kernel canonical correlation analysis algorithm with applications to information retrieval. 178-191

Neuroscience

• 
  Fen Wang, Yuanlong Chen, Meichun Liu:
  pth moment exponential stability of stochastic memristor-based bidirectional associative memory (BAM) neural networks with time delays. 192-202

Mathematical and Computational Analysis

• 
  Hongfei Li, Chuandong Li, Tingwen Huang, Wanli Zhang:
  Fixed-time stabilization of impulsive Cohen-Grossberg BAM neural networks. 203-211

Learning Systems

• 
  Zhenni Li, Shuxue Ding, Yujie Li, Zuyuan Yang, Shengli Xie, Wuhui Chen:
  Manifold optimization-based analysis dictionary learning with an ℓ1∕2-norm regularizer. 212-222
• 
  Chengdai Huang, Jinde Cao:
  Impact of leakage delay on bifurcation in high-order fractional BAM neural networks. 223-235
• 
  Alan L. S. Matias, Ajalmar R. da Rocha Neto:
  OnARTMAP: A Fuzzy ARTMAP-based Architecture. 236-250

Mathematical and Computational Analysis

• 
  Kwang-Ki K. Kim, Ernesto Rios-Patron, Richard D. Braatz:
  Standard representation and unified stability analysis for dynamic artificial neural network models. 251-262
• 
  Kazuyuki Hiraoka, Toshihiko Hamada, Gen Hori:
  Necessary and sufficient conditions of proper estimators based on self density ratio for unnormalized statistical models. 263-270

Neuroscience

• 
  Tatiana M. Medvedeva, Marina V. Sysoeva, Gilles van Luijtelaar, Ilya V. Sysoev:
  Modeling spike-wave discharges by a complex network of neuronal oscillators. 271-282
• 
  Fei Su, Jiang Wang, Shuangxia Niu, Huiyan Li, Bin Deng, Chen Liu, Xile Wei:
  Nonlinear predictive control for adaptive adjustments of deep brain stimulation parameters in basal ganglia-thalamic network. 283-295

Mathematical and Computational Analysis

• 
  Namig J. Guliyev, Vugar E. Ismailov:
  On the approximation by single hidden layer feedforward neural networks with fixed weights. 296-304

Engineering and Applications

• 
  Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
  A deep learning framework for causal shape transformation. 305-317

Neuroscience

• 
  Thomas Gisiger, Mounir Boukadoum:
  A loop-based neural architecture for structured behavior encoding and decoding. 318-336