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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analogue Imprecision in Mlp Training, Progress in Neural Processing, Vol 4

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

Edwards, Peter
Murray, Alan F.

Hardcover

Series: Progress in Neural Processing, Book 4

Technology & EngineeringGeneral Computers

Currently unavailable to order

ISBN10: 9810227396
ISBN13: 9789810227395
Publisher: World Scientific Pub Co Inc
Published: Aug 1 1996
Pages: 192
Language: English
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 afault 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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