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New results on impulsive type inertial bidirectional associative memory neural networks 被引量:1

脉冲型惯性双向联想记忆神经网络新解(英文)
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摘要 This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects.New and practical conditions are given to study the existence,uniqueness,and global exponential stability of anti-periodic solutions for the suggested system.We use differential inequality techniques to prove our main results.Finally,we give an illustrative example to demonstrate the effectiveness of our new results. This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects. New and practical conditions are given to study the existence, uniqueness, and global exponential stability of anti-periodic solutions for the suggested system. We use differential inequality techniques to prove our main results. Finally, we give an illustrative example to demonstrate the effectiveness of our new results.
出处 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2020年第2期324-339,共16页 信息与电子工程前沿(英文版)
关键词 ASSOCIATIVE IMPULSIVE INEQUALITY Inertial neural networks Anti-periodic solutions Global exponential stability Impulsive effect Time-varying delay Bidirectional associative memory
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