Wang Feng-he, Hu Yu-pu, Wang Chun-xiao. An Attack and Improve of a Group Signature Scheme Based on Chinese Remainder Theorem[J]. Journal of Electronics & Information Technology, 2007, 29(1): 182-184. doi: 10.3724/SP.J.1146.2005.00650
Citation:
Guo Baolong, Guo Lei . LOGICAL ANALYSIS FOR NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1997, 19(1): 11-16.
Wang Feng-he, Hu Yu-pu, Wang Chun-xiao. An Attack and Improve of a Group Signature Scheme Based on Chinese Remainder Theorem[J]. Journal of Electronics & Information Technology, 2007, 29(1): 182-184. doi: 10.3724/SP.J.1146.2005.00650
Citation:
Guo Baolong, Guo Lei . LOGICAL ANALYSIS FOR NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1997, 19(1): 11-16.
By comparison with constraint satisfaction networks, this paper presents an essential frame of the logical theory for continuous-state neural networks, and gives the quantitative analyzing method for contradiction. The analysis indicates that the basic reason for the alternation of the logical states of the neurons is the existence of superior contradiction inside the networks. The dynamic process for a neural network to find a solution corresponds to eliminating the superior contradiction.
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Wang Feng-he, Hu Yu-pu, Wang Chun-xiao. An Attack and Improve of a Group Signature Scheme Based on Chinese Remainder Theorem[J]. Journal of Electronics & Information Technology, 2007, 29(1): 182-184. doi: 10.3724/SP.J.1146.2005.00650
Wang Feng-he, Hu Yu-pu, Wang Chun-xiao. An Attack and Improve of a Group Signature Scheme Based on Chinese Remainder Theorem[J]. Journal of Electronics & Information Technology, 2007, 29(1): 182-184. doi: 10.3724/SP.J.1146.2005.00650