FPGA Implementations of Neural Networks (Ormondi. A.R. and Rajapakse, J.C., Eds.; 2006)

This timely collection of 12 selected contributions offers exactly what was missing in the exciting and growing area of FPGA-based neurocomputing: an introduction for wannabes and a reference for diehards. The introductory chapter provides a very nice and down-to-earth introduction to all key aspects - from neural network basics to performance evaluation - of FPGA neurocomputers. The rest of the book then covers three main topics: foundation issues, implementations, and the lessons learned from a large scale project. The book has some minor problems with graphics and typesetting, as well as some examples of poor English. It also lacks an index. But problems aside, the volume provides a unique and comprehensive overview on the field that researchers, engineers, and students will certainly find most useful.