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Non-linear feedback neural networks: VLSI implementations and applications
This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known that the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved soluti...
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| Lenguaje: | eng |
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Springer
2014
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| Acceso en línea: | https://dx.doi.org/10.1007/978-81-322-1563-9 http://cds.cern.ch/record/2023665 |