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Stability Analysis of Fuzzy Hopfield Networks Based on Weakly Continuous T-Norms

机译:基于弱连续T范围的模糊Hopfield网络稳定性分析

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A general dynamical fuzzy neural networks modelfuzzy Hopfield networks with threshold is developed, which is based on the fuzzy operator composition of max( ) and weakly continuous T-norms. It is shown that the model is global stable with the Hamming distance, and its equilibrium point (attractor) is Lyapunov stable.
机译:开发了一种具有阈值的一般动态模糊神经网络Modelfzzy Hopfield网络,其基于MAX()的模糊操作组合物和弱连续的T范围。结果表明,该模型具有汉明距离的全球稳定,其平衡点(吸引器)是Lyapunov稳定的。

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