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ORCIDNeural Networks, Volume 95
Volume 95, November 2017
- Mohammad Bataineh
, Timothy Marler:
Neural network for regression problems with reduced training sets. 1-9 - Asma ElAdel, Mourad Zaied, Chokri Ben Amar:
Fast DCNN based on FWT, intelligent dropout and layer skipping for image retrieval. 10-18
- Atharva Sharma, Xiuwen Liu, Xiaojun Yang, Di Shi:
A patch-based convolutional neural network for remote sensing image classification. 19-28
- Kenneth Ball, Christopher Grant, William R. Mundy, Timothy J. Shafer:
A multivariate extension of mutual information for growing neural networks. 29-43 - Takafumi Kanamori, Takashi Takenouchi:
Graph-based composite local Bregman divergences on discrete sample spaces. 44-56 - Kamil Rajdl, Petr Lánský, Lubomir Kostal:
Entropy factor for randomness quantification in neuronal data. 57-65 - Hong Peng, Jinyu Yang, Jun Wang, Tao Wang, Zhang Sun, Xiaoxiao Song, Xiaohui Luo, Xiangnian Huang:
Spiking neural P systems with multiple channels. 66-71
- Zhihua Wu, Aike Guo, Xiaodi Fu:
Generation of low-gamma oscillations in a GABAergic network model of the striatum. 72-90
- Fadi Dornaika, Mahdi Tavassoli Kejani, Alireza Bosaghzadeh:
Graph construction using adaptive Local Hybrid Coding scheme. 91-101
- Wei Zhang, Tingwen Huang, Xing He, Chuandong Li:
Global exponential stability of inertial memristor-based neural networks with time-varying delays and impulses. 102-109 - Pierre Baldi, Peter J. Sadowski, Zhiqin Lu:
Learning in the machine: The symmetries of the deep learning channel. 110-133
- Yongping Pan, Tairen Sun, Yiqi Liu, Haoyong Yu:
Composite learning from adaptive backstepping neural network control. 134-142
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