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ORCIDNeural Networks, Volume 104
Volume 104, August 2018
- Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz:
Design of double fuzzy clustering-driven context neural networks. 1-14
- Javier Pérez
, Juan A. Cabrera, Juan Jesús Castillo Aguilar, Juan M. Velasco:
Bio-inspired spiking neural network for nonlinear systems control. 15-25 - Majdi Chaari, Afef Fekih, Abdennour C. Seibi, Jalel Ben Hmida:
A frequency-domain approach to improve ANNs generalization quality via proper initialization. 26-39 - Michael Stettler, Gregory Francis:
Using a model of human visual perception to improve deep learning. 40-49
- Viola Folli, Giorgio Gosti, Marco Leonetti, Giancarlo Ruocco:
Effect of dilution in asymmetric recurrent neural networks. 50-59 - Alvin Poernomo, Dae-Ki Kang:
Biased Dropout and Crossmap Dropout: Learning towards effective Dropout regularization in convolutional neural network. 60-67
- Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li:
A deep belief network with PLSR for nonlinear system modeling. 68-79
- Dongshu Wang, Lihong Huang, Longkun Tang, Jinsen Zhuang:
Generalized pinning synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations. 80-92 - Wanli Zhang, Shiju Yang, Chuandong Li, Wei Zhang, Xinsong Yang:
Stochastic exponential synchronization of memristive neural networks with time-varying delays via quantized control. 93-103 - Shuai Yang, Juan Yu, Cheng Hu, Haijun Jiang:
Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks. 104-113
- Feibo Jiang, Li Dong, Qianwei Dai:
Electrical resistivity imaging inversion: An ISFLA trained kernel principal component wavelet neural network approach. 114-123
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