1. Neural network for regression problems with reduced training sets
Author(s): Mohammad Bataineh, Timothy Marler
Pages: 1-9
2. Fast DCNN based on FWT, intelligent dropout and layer skipping for image retrieval
Author(s): Asma ElAdel, Mourad Zaied, Chokri Ben Amar
Pages: 10-18
3. A patch-based convolutional neural network for remote sensing image classification
Author(s): Atharva Sharma, Xiuwen Liu, Xiaojun Yang, Di Shi
Pages: 19-28
4. A multivariate extension of mutual information for growing neural networks
Author(s): Kenneth R. Ball, Christopher Grant, William R. Mundy, Timothy J. Shafer
Pages: 29-43
5. Graph-based composite local Bregman divergences on discrete sample spaces
Author(s): Takafumi Kanamori, Takashi Takenouchi
Pages: 44-56
6. Entropy factor for randomness quantification in neuronal data
Author(s): K. Rajdl, P. Lansky, L. Kostal
Pages: 57-65
7. Spiking neural P systems with multiple channels
Author(s): Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo, Xiangnian Huang
Pages: 66-71
8. Generation of low-gamma oscillations in a GABAergic network model of the striatum
Author(s): Zhihua Wu, Aike Guo, Xiaodi Fu
Pages: 72-90
9. Graph construction using adaptive Local Hybrid Coding scheme
Author(s): Fadi Dornaika, Mahdi Tavassoli Kejani, Alireza Bosaghzadeh
Pages: 91-101
10. Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses
Author(s): Wei Zhang, Tingwen Huang, Xing He, Chuandong Li
Pages: 102-109
11. Learning in the machine: The symmetries of the deep learning channel
Author(s): Pierre Baldi, Peter Sadowski, Zhiqin Lu
Pages: 110-133
12. Composite learning from adaptive backstepping neural network control
Author(s): Yongping Pan, Tairen Sun, Yiqi Liu, Haoyong Yu
Pages: 134-142
Friday, October 6, 2017
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