Analogue Imprecision in Mlp Training, Progress in Neural Processing, Vol 4 Peter J. Edwards

ISBN: 9781299662551

Published: June 11th 2013

ebook

191 pages


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Analogue Imprecision in Mlp Training, Progress in Neural Processing, Vol 4  by  Peter J. Edwards

Analogue Imprecision in Mlp Training, Progress in Neural Processing, Vol 4 by Peter J. Edwards
June 11th 2013 | ebook | PDF, EPUB, FB2, DjVu, talking book, mp3, ZIP | 191 pages | ISBN: 9781299662551 | 9.24 Mb

Hardware inaccuracy and imprecision are important considerations when implementing neural algorithms. This book presents a study of synaptic weight noise as a typical fault model for analogue VLSI realisations of MLP neural networks and examines theMoreHardware inaccuracy and imprecision are important considerations when implementing neural algorithms. This book presents a study of synaptic weight noise as a typical fault model for analogue VLSI realisations of MLP neural networks and examines the implications for learning and network performance.

The aim of the book is to present a study of how including an imprecision model into a learning scheme as afault tolerance hint can aid understanding of accuracy and precision requirements for a particular implementation. In addition the study shows how such a scheme can give rise to significant performance enhancement.



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