Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms

Nonfiction, Science & Nature, Technology, Automation, Mathematics, Applied
Cover of the book Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms by Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren, Springer Singapore
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Author: Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren ISBN: 9789811049071
Publisher: Springer Singapore Publication: June 7, 2017
Imprint: Springer Language: English
Author: Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
ISBN: 9789811049071
Publisher: Springer Singapore
Publication: June 7, 2017
Imprint: Springer
Language: English

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.

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