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Necessary and Sufficient Condition for the Absolute Exponential Stability of a Class of Neural Networks with Finite Delay by Tingwen Huang; Jinde Cao; Chuandong Li is a Physics and Astronomy article available to read on EtoBox.

What is Necessary and Sufficient Condition for the Absolute Exponential Stability of a Class of Neural Networks with Finite Delay about?

In this Letter, a necessary and sufficient condition is established for ascertaining the absolute exponential stability for a class of finite delayed neural networks with connection matrices A having nonnegative off-diagonal elements, delayed feedback matrix A τ having nonnegative elements and strictly increasing and Lipschitz activation functions.

Who reads Necessary and Sufficient Condition for the Absolute Exponential Stability of a Class of Neural Networks with Finite Delay?

It is typically read by researchers, students, and practitioners in Physics and Astronomy.

Author
Tingwen Huang; Jinde Cao; Chuandong Li
Publisher
Elsevier Science; Elsevier ; Elsevier BV (ISSN 0375-9601)
Published
2006
Language
EN
Field
Physics and Astronomy (Physical Sciences)

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