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Showing posts with label neural networks. Show all posts
Showing posts with label neural networks. Show all posts
Monday, May 21, 2018

Neural Networks, Volume 104, Pages 1-124, August 2018

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1. Design of double fuzzy clustering-driven context neural networks Author(s): Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz Pages: 1-14 2. Bi...
Friday, May 4, 2018

Neural Networks, Volume 103, Pages 1-150, July 2018

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1. Beyond Low-Rank Representations: Orthogonal clustering basis reconstruction with optimized graph structure for multi-view spectral clust...
Friday, March 23, 2018

Neural Networks, Volume 100, Pages 1-94, April 2018

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1. Coupled generative adversarial stacked Auto-encoder: CoGASA Author(s): Mohammad Ahangar Kiasari, Dennis Singh Moirangthem, Minho Lee Pa...

Neural Networks, Volume 101, May 2018

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1. Neural network for nonsmooth pseudoconvex optimization with general convex constraints Author(s): Wei Bian, Litao Ma, Sitian Qin, Xiaopi...
Tuesday, February 27, 2018

Neural Networks, Volume 99, Pages 1-178, March 2018

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1. Multistability and multiperiodicity in impulsive hybrid quaternion-valued neural networks with mixed delays Author(s): Călin-Adrian Popa...
Friday, February 16, 2018

Neural Networks, Volume 98, 1-336, February 2018

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1. Active learning for classifying data streams with unknown number of classes     Author(s): Saad Mohamad, Moamar Sayed-Mouchaweh, Abdelha...
Monday, October 23, 2017

Neural Networks, Volume 96, Pages 1-150, December 2017

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1. ASD+M: Automatic parameter tuning in stochastic optimization and on-line learning Author(s): Paweł Wawrzyński Pages: 1-10 2. User emot...
Friday, October 6, 2017

Neural Networks, Volume 95, 1-142, November 2017

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1. Neural network for regression problems with reduced training sets Author(s): Mohammad Bataineh, Timothy Marler Pages: 1-9 2. Fast DCNN ...
Thursday, September 21, 2017

Neural Networks, Volume 94, Pages 1-274, October 2017

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1. Maximum likelihood optimal and robust Support Vector Regression with lncosh loss function Author(s): Omer Karal Pages: 1-12 2. Ker...
Friday, August 4, 2017

Neural Networks, Volume 93, Pages 1-266, September 2017

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1. A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG sig...
Friday, June 9, 2017

Neural Networks, Volume 92, Pages 1-98, August 2017

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Special Issue " Advances in Cognitive Engineering Using Neural Networks " Edited by Minho Lee, Steven Bressler and Robert Kozma 1....
Monday, May 22, 2017

Neural Networks, Volume 91, Pages 1-102, July 2017

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1. Lagrange image-exponential stability and image-exponential convergence for fractional-order complex-valued neural networks     Author(s)...
Saturday, May 13, 2017

Neural Networks, Volume 90, Pages 1-112, June 2017

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1. Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model     Author(s): F.S. Borges, P.R...
Saturday, April 8, 2017

Neural Networks, Volume 89, Pages 1-104, May 2017

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1. A weighted information criterion for multiple minor components and its adaptive extraction algorithms     Author(s): Yingbin Gao, Xiangy...
Monday, March 20, 2017

Neural Networks, Volume 88, Pages: 1-134, April 2017

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1. Orthogonal self-guided similarity preserving projection for classification and clustering     Author(s): Xiaozhao Fang, Yong Xu, Xuelong...
Monday, March 13, 2017

Neural Networks, Volume 87, Pages 1-160, March 2017

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1. Reaction times in visual search can be explained by a simple model of neural synchronization     Author(s): Yakov Kazanovich, Roman Bori...
Tuesday, January 17, 2017

Neural Networks, Volume 86, Pages 1-122, February 2017

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1) A new switching control for finite-time synchronization of memristor-based recurrent neural networks     Author(s): Jie Gao, Peiyong Zhu...
Wednesday, December 14, 2016

Neural Networks, Volume 85, Pages 1-196, January 2017

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1. Pinning-controlled synchronization of delayed neural networks with distributed-delay coupling via impulsive control     Author(s): Wangl...
Monday, November 7, 2016

Neural Networks, Volume 84, Pages 1-180, December 2016

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1. Model-based reinforcement learning with dimension reduction Author(s): Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama Pages: 1-16 2. ...
Wednesday, November 2, 2016

IEEE Transactions on Neural Networks and Learning Systems, Volume 27, Issue 11, November 2016

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1. Decomposition Techniques for Multilayer Perceptron Training Author: Luigi Grippo; Andrea Manno; Marco Sciandrone Page(s): 2146 - 2159 ...