Overview
- Takes the reaction-diffusion effect into account in neural networks
- Proposes new passivity definitions for cases in which the input and output vectors have different dimensions in coupled reaction-diffusion neural networks
- Helps readers understand the dynamical behaviors of coupled reaction-diffusion neural networks
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Bibliographic Information
Book Title: Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms
Authors: Jin-Liang Wang, Huai-Ning Wu, Tingwen Huang, Shun-Yan Ren
DOI: https://doi.org/10.1007/978-981-10-4907-1
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2018
Hardcover ISBN: 978-981-10-4906-4Published: 16 June 2017
Softcover ISBN: 978-981-13-5262-1Published: 12 January 2019
eBook ISBN: 978-981-10-4907-1Published: 07 June 2017
Edition Number: 1
Number of Pages: XIII, 220
Number of Illustrations: 2 b/w illustrations, 41 illustrations in colour
Topics: Control and Systems Theory, Mathematical Models of Cognitive Processes and Neural Networks, Artificial Intelligence, Complex Systems