On stochastic neutral neural networks

Yumin Zhang; Lei Guo; Lingyao Wu; Chunbo Feng

doi:10.1007/11427391_10

On stochastic neutral neural networks

Yumin Zhang^*
, Lei Guo
, Lingyao Wu
, Chunbo Feng

^*此作品的通讯作者

Southeast University, Nanjing

科研成果: 期刊稿件 › 会议文章 › 同行评审

5 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	69-74
页数	6
期刊	Lecture Notes in Computer Science
卷	3496
期	I
DOI	https://doi.org/10.1007/11427391_10
出版状态	已出版 - 2005
已对外发布	是
活动	Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 - Chongqing, 中国期限: 30 5月 2005 → 1 6月 2005

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10.1007/11427391_10

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title = "On stochastic neutral neural networks",

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.",

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TY - JOUR

T1 - On stochastic neutral neural networks

AU - Zhang, Yumin

AU - Guo, Lei

AU - Wu, Lingyao

AU - Feng, Chunbo

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/24944437976

U2 - 10.1007/11427391_10

DO - 10.1007/11427391_10

M3 - 会议文章

AN - SCOPUS:24944437976

SN - 0302-9743

VL - 3496

SP - 69

EP - 74

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - I

T2 - Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005

Y2 - 30 May 2005 through 1 June 2005

ER -

On stochastic neutral neural networks

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