Theoretical Advances in Neural Computation and Learning


Click here to read the forewords by Bernard Widrow and David E. Rumelhart: "For any research field to have a lasting impact, it must have a theoretical foundation. Neural Networks  research is no exception....."

This book emphasizes the computational issues in artificial neural networks and compiles a set of pioneering research works, which together establish a general frameowrk for studying the complexity of neural networks and their learning capabilities. This book presents one of the first efforts to highlight these fundamental results, and attempts to provide a unified platform for a theoretical exploration of neural computation. Each chapter is authored by a leading researcher and/or scholar who has made a significant contribution in this area.