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Dynamic behaviors in chaotic bidirectional associative memory

机译:混沌双向联想记忆中的动力学行为

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摘要

A family of chaotic bidirectional associative memory models (C-BAM family) is introduced through the inclusion of the chaotic neuron in the original BAM family. Each parameter in the chaotic neuron has its influence upon the distinct dynamics estimated throughout experimental design. Based on this analysis, values of parameters are set to illustrate the existence of behaviors such as bifurcation, deterministic chaos and crisis. The existence of the chaotic dynamics is confirmed by calculation of Lyapunov exponents. C-BAM family also presented diversity of patterns recalled, including the occurrence of excursions over all stored memories for some sets of parameters. Hence, C-BAM family can access patterns that original BAM family cannot.
机译:通过将混沌神经元包含在原始BAM家族中,引入了一个混沌双向联想记忆模型家族(C-BAM家族)。混沌神经元中的每个参数都对整个实验设计中估计的不同动力学有影响。在此分析的基础上,设置参数值以说明行为的存在,例如分叉,确定性混乱和危机。通过计算李雅普诺夫指数可以确认混沌动力学的存在。 C-BAM系列还提供了被召回的各种模式,包括某些参数集在所有存储的内存中发生偏移。因此,C-BAM系列可以访问原始BAM系列无法访问的模式。

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