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

^*Corresponding author for this work

Southeast University, Nanjing

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

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.

Original language	English
Pages (from-to)	69-74
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3496
Issue number	I
DOIs	https://doi.org/10.1007/11427391_10
State	Published - 2005
Externally published	Yes
Event	Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 - Chongqing, China Duration: 30 May 2005 → 1 Jun 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.",

author = "Yumin Zhang and Lei Guo and Lingyao Wu and Chunbo Feng",

year = "2005",

doi = "10.1007/11427391\_10",

language = "英语",

volume = "3496",

pages = "69--74",

journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

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number = "I",

note = "Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 ; Conference date: 30-05-2005 Through 01-06-2005",

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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

Abstract

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