Progress In Neural Processing
1 primary work
Book 4
Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4
by Peter Edwards and Alan F Murray
Published 1 August 1996
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.