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Více informací o knize Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4

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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Electronics & communications engineering Electronics engineering

• Plný název: Analogue Imprecision In Mlp Training, Progress In Neural Processing, Vol 4
• Autor: Peter J. Edwards, A.F. Murray
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 192
• EAN: 9789810227395
• ISBN: 9810227396
• ID: 05065519
• Nakladatelství: World Scientific Publishing Co Pte Ltd
• Hmotnost: 266 g
• Datum vydání: 08. January 1996

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