Neural network computation

Author: Wu Wei (Compiler)
Publisher:
Publish Date: 2003-07-01
Features: This book is a national-level planning textbook for the 15th Five-Year Plan in general higher education. It briefly introduces the principles, computational methods, and applications of several common artificial neural networks, including feedforward networks represented by BP networks, (associative memory networks) represented by Hopfield networks, radial basis function networks, Boltzmann machines, feature mapping networks (SOFM networks and ART networks), as well as cerebellar model networks, etc. Each chapter is followed by exercises. The content of the book is appropriately trimmed, and the narration is clear and concise. This book can be used as a selective course textbook for senior undergraduate students in science and engineering majors and as a graduate textbook. It can also serve as a reference book for research and application in artificial neural networks. This book briefly introduces the principles, computational methods, and applications of several common artificial neural networks, specifically detailing feedforward networks represented by BP networks, feature mapping networks, and cerebellar model networks.