Title

關於脈衝滯神經網絡的全局穩定性

Translated Titles

Global Stability of Delay Neural Networks with Impulsive Effect

Authors

趙軍(Jun Zhao);胡軍浩(Jun-Hao Hu);黃文玲(Wen-Ling Huang)

Key Words

神經網絡 ; 脈衝時滯 ; 全局一致漸近穩定 ; neural networks ; delay and impulse ; global uniform asymptotic stability

PublicationName

佛山科學技術學院學報(自然科學版)

Volume or Term/Year and Month of Publication

23卷3期(2005 / 09 / 01)

Page #

1 - 4

Content Language

簡體中文

Chinese Abstract

本文擴展雙向聯想記憶神經網絡(BAMNN)的研究範圍,在時滯型BAMNN的基礎上,提出脈衝型時滯BAMNN的概念,並對其全局一致漸近穩定性進行了討論。便於從新的途徑實現BAMNN分析和綜合利用。

English Abstract

The research domain of bi-directional associative memory neural networks (BAMNN) is enlarged. For the first time, neural networks with impulsive effect, based on delay BAMNN, is discussed. And several sufficient conditions for global uniform asymptotic stability are derived. The study will be helpful to BAMNN analysis and application in a new way.

Topic Category 基礎與應用科學 > 數學
生物農學 > 生物科學
生物農學 > 農業
工程學 > 工程學綜合