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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Pełny tytuł: Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4
• Autor: Peter J. Edwards, A.F. Murray
• Język: Angielski
• Oprawa: Twarda
• Liczba stron: 192
• EAN: 9789810227395
• ISBN: 9810227396
• ID: 05065519
• Wydawca: World Scientific Publishing Co Pte Ltd
• Data wydania: 08. January 1996

Ulubione w innej kategorii

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