Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4 is popular PDF and ePub book, written by Peter Edwards in 1996-08-23, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4 can be Read Online from any device for your convenience.
Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4 Book PDF Summary
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.
Detail Book of Analogue Imprecision In Mlp Training Progress In Neural Processing Vol 4 PDF
- Author : Peter Edwards
- Release : 23 August 1996
- Publisher : World Scientific
- ISBN : 9789814498692
- Genre : Computers
- Total Page : 191 pages
- Language : English
- PDF File Size : 12,7 Mb
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