Chapman & Hall Neural Computing S.
1 total work
Analogue VLSI is an important method used for the implementation of neural networks. In this book, the authors' aim is to explore these techniques in detail. They compare a variety of approaches, giving readers an appreciation of analogue neural VLSI through examples of each approach rather than by means of an exhaustive survey. The practical nature of the book is apparent throughout with the inclusion of case studies and application examples. An important aspect is the tutorial introduction to the authors' own pulse stream technique which gives interested readers the information they need to develop their own neural network architectures. Aimed at graduate students and professionals, this book should be of interest to computer scientists and electronics engineers working in neural networks, VLSI (especially analogue VLSI), and novel computer architectures.