一类学习联想神经网络的动态特性研究

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Abstract The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated. The filtering ability of the associative neural network whose input is contaminated by noise is analysed. The obtained results are expected to instruction for further studies of the learning associative neural networks.

Key words： Associative neural networks Learning algorithms Dynamic behaviors Structure exponential stability

Received: 30 September 1992

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	Zeng Huanglin

Cite this article:

Zeng Huanglin. STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS[J]. , 1994, 16(1): 1-7 .

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http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1994/V16/I1/1

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