VLSI Artificial Neural Networks Engineering
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VLSI Artificial Neural Networks Engineering

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Description

Engineers have long been fascinated by how efficient and how fast biological neural networks are capable of performing such complex tasks as recognition. Such networks are capable of recognizing input data from any of the five senses with the necessary accuracy and speed to allow living creatures to survive. Machines which perform such complex tasks as recognition, with similar ac- curacy and speed, were difficult to implement until the technological advances of VLSI circuits and systems in the late 1980's. Since then, the field of VLSI Artificial Neural Networks (ANNs) have witnessed an exponential growth and a new engineering discipline was born. Today, many engineering curriculums have included a course or more on the subject at the graduate or senior under- graduate levels. Since the pioneering book by Carver Mead; "Analog VLSI and Neural Sys- tems", Addison-Wesley, 1989; there were a number of excellent text and ref- erence books on the subject, each dealing with one or two topics. This book attempts to present an integrated approach of a single research team to VLSI ANNs Engineering.
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Product details

  • Hardback | 329 pages
  • 155.96 x 233.93 x 20.57mm | 1,469.63g
  • Dordrecht, Netherlands
  • English
  • 1994 ed.
  • XV, 329 p.
  • 0792394933
  • 9780792394938

Table of contents

Preface. 1. An Overview; W. Fakhr, M.I. Elmasry. 2. A Sampled-Data CMOS VLSI Implementation of a Multi-Character ANN Recognition System; S.E. Rehan, M.I. Elmasry. 3. A Design Automation Environment for Mixed Analog/Digital ANNs; A. Achyuthan, M.I. Elmsry. 4. A Compact VLSI Implementation of Neural Networks; Liang-Yong Song, M.I. Elmasry. 5. An All-Digital VLSI ANN; B. White, M.I. Elmasry. 6. A Neural Predictive Hidden Markov Model Architecture for Speech and Speaker Recognition; K. Hassanein, Li Deng, M.I. Elmasry. 7. Minimum Complexity Neural Networks for Classification; W. Fakhr, M. Kamel, M.I. Elmasry. 8. A Parallel ANN Architecture for Fuzzy Clustering; Dapeng Zhang, M. Kamel, M.I. Elmasry. 9. A Pipelined ANN Architecture for Speech Recognition; Dapeng Zhang, Li Deng, M.I. Elmasry. Index.
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