具有参数耦合映射网络的多状态联想记忆

G. Tanaka, K. Aihara
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引用次数: 10

摘要

本文提出了两种类型的多状态联想记忆模型,该模型使用通过单个映射中的参数耦合的圆映射。每个网络利用具有特定分岔特性的圆映射作为其组成部分,在记忆关联中实现自组织混沌动力学。在多状态联想记忆测试中,将所提网络与传统多状态神经网络的性能进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multistate associative memory with parametrically coupled map networks
The present paper proposes two types of multistate associative memory models using circle maps coupled through a parameter in the individual map. Each network utilizes a circle map with a specific bifurcation property as its component and realizes self-organizing chaotic dynamics in a memory association. The performance of the proposed networks is compared with that of a conventional multistate neural network in multistate associative memory tests.
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