Inference and contradictory analysis for binary neural networks
摘要
A weak-inference theory and a contradictory analysis for binary neural networks (BNNs).are presented.The analysis indicates that the essential reason why a neural network is changing its slates is the existence of superior contradiction inside the network,and that the process by which a neural network seeks a solution corresponds to eliminating the superior contradiction.Different from general constraint satisfaction networks,the solutions found by BNNs may contain inferior contradiction but not superior contradiction.
引用本文（GB/T 7714）
Baolong Guo. Inference and contradictory analysis for binary neural networks[J]. 未知来源, 1996.
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