ANALOGUE IMPRECISION IN MLP TRAIN...(V4)
| By: | Edwards Peter; Murray Alan F |
| Publisher: | World Scientific Publishing |
| Print ISBN: | 9789810227395 |
| eText ISBN: | 9789812830012 |
| Edition: | 0 |
| Format: | Page Fidelity |
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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 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 a“fault 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.