On stochastic neutral neural networks

Authors:
Yumin Zhang;Lei Guo;Lingyao Wu;Chunbo Feng
Affiliations:
Research Institute of Automation, Southeast University, Nanjing, Jiangshu, China;Research Institute of Automation, Southeast University, Nanjing, Jiangshu, China;Research Institute of Automation, Southeast University, Nanjing, Jiangshu, China;Research Institute of Automation, Southeast University, Nanjing, Jiangshu, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Year:
2005

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Abstract

A new type of neutral neural network (NNN) model is established and the corresponding stability analysis is studied in this paper. By introducing the neutral term into the classical neural network model, the inspiration and associate memory phenomenon can be well described and explained. The stochastic Hopfield NNN model (HNNN) is investigated, respectively. Some criteria for mean square exponential stability and asymptotic stable are provided.