Reconfigurable Cellular Neural Networks and Their Applications /

This book explores how neural networks can be designed to analyze sensory data in a way that mimics natural systems. It introduces readers to the cellular neural network (CNN) and formulates it to match the behavior of the Wilson-Cowan model. In turn, two properties that are vital in nature are adde...

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Bibliographic Details
Main Authors: Yalçın, Müştak E. (Author), Ayhan, Tuba (Author), Yeniçeri, Ramazan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Series:SpringerBriefs in Nonlinear Circuits,
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Call Number: Q342
 
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