| Analogue Imprecision in Mlp Training, Progress in Neural Processing, Vol 4 Contributor(s): Edwards, Peter (Author), Murray, Alan F. (Author) |
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ISBN: 9810227396 ISBN-13: 9789810227395 Publisher: World Scientific Publishing Company OUR PRICE: $80.75 Product Type: Hardcover Published: August 1996 |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Computers | Computer Science - Technology & Engineering | Electrical |
| Dewey: 006.3 |
| LCCN: 96008889 |
| Series: Progress in Neural Processing |
| Physical Information: 192 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |