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...
Main Authors: | , , |
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Format: | Electronic Book |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020
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Edition: | 1st ed. 2020 |
Series: | SpringerBriefs in Nonlinear Circuits,
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Subjects: |