Reconfigurable Cellular Neural Networks and Their Applications [electronic resource] / by Müştak E. Yalçın, Tuba Ayhan, Ramazan Yeniçeri.

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

Online Access:	Full Text (via Springer)
Main Author:	Yalçin, Müştak E.
Other Authors:	Ayhan, Tuba, Yeniçeri, Ramazan
Format:	Electronic eBook
Language:	English
Published:	Cham : Springer International Publishing, 2020.
Series:	SpringerBriefs in applied sciences and technology. Nonlinear circuits.
Subjects:	Neural networks (Computer science)