文章基本信息

标题：Input-Output Stability Of Neural Network With Hysteresis
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作者：G.Padmavathi ; J.Neelima ; P.V.Siva Kumar 等
期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2014
期号：6
页码：391-403
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：In this paper analysis of hysteresis neural network towards stability are proposed. In the present research existence, asymptotic stability and Input-output stability of equations as a model for hysteretic neurons are discussed. These neural netw orks can also be employed for image extraction in a noise interfering channels. We establish sufficient conditions for various stability analysis of this class of neural networks. The result improves the earlier publications due to the Input output analysis of the network with neutral delays.
关键词：Hysteresis Neural Networks; Asymptotic stability; ; Input output stability