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Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4
Language
English
English
Book
Hardback
Hardware inaccuracy and imprecision are important considerations when implementing neural algorithms...
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Libristo code: 05065519
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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 implication 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.
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About the book
Full name
Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4
Author
Peter J. Edwards, A.F. Murray
Language
English
English
Binding
Book - Hardback
Date of issue
1996
Number of pages
192
EAN
9789810227395
ISBN
9810227396
Libristo code
05065519
Publishers
World Scientific Publishing Co Pte Ltd
Weight
266
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