Kniha Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4 Peter J. Edwards

Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: 50 % šance
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Hardware inaccuracy and imprecision are important considerations when implementing neural algorithms...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
1996
Stránek
192
EAN
9789810227395
ISBN
9810227396
Enbook ID
05065519
Hmotnost
266

Kompletní popis

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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