[The articles of this volume will not be reviewed individually.] In the recent years there has been an increasing interest in fuzzy logic and neural networks motivated by the need for better processing of uncertain and incomplete information. The effort to make computer-based systems more intelligent, efficient and flexible expands the use of methods from fuzzy logic and approximate reasoning. In this handbook comprehensive reports on the principal activities in the areas of fuzzy logic and neural networks are presented. Each chapter will focus on the most important activity of a specific topic. The book has three parts. Part I “Principles and algorithms” contains 11 chapters discussing principles and algorithms of real time learning, probabilistic neural networks, and the semantic foundations of fuzzy logic. Part II “Applications” presents a number of important applications of neural networks and fuzzy logic, including applications of neural networks for radar, sonar and speech signal processing, remote sense, electrical power systems, and applications of fuzzy logic for manufacturing processes. Part III is devoted to the topic “Architectures and systems”. This part contains, besides others, advances in cerebellar model arithmetic computer, chaotic neural network architectures, reactive control systems using fuzzy logic, and VLSI implementation strategies. The interested reader will obtain a comprehensive and valuable insight of the current applications of fuzzy logic and neural networks. The practicability of the presented material is emphasized by the fact that a significant part of the book was prepared by contributers from industry.
H.Herre (Leipzig)