Wow! eBook
ANALOGUE IMPRECISION IN MLP TRAINING, PROGRESS IN NEURAL PROCESSING, VOL 4
Author(s): Peter J. Edwards (Author), Alan F. Murray (Author)
- Publisher: World Scientific Pub Co Inc
- Publication Date: August 1, 1996
- Edition: First Edition
- Language: English
- Print length: 178 pages
- ISBN-10: 9810227396
- ISBN-13: 9789810227395
Book Description
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.
