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

• Author(s): Peter Edwards, Alan F Murray,
• Publisher: World Scientific
• Pages: 192
• ISBN_10: 9814498696
  ISBN_13: 9789814498692
  
• Language: en
• Categories: Computers / Computer Science , Technology & Engineering / Electrical , Computers / Networking / General ,

Description:... 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 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.