Advanced Neuro-Fuzzy Engineering for Building Intelligent Adaptive Information Systems

Abstract

Intelligent adaptive information systems are systems which can automatically adapt their structure and behaviour in order to react better to a dynamically changing environment, and to provide knowledge which explains their behaviour. Fuzzy neural networks have features which make them useful for building such systems, namely: fast adaptive learning, good generalisation, good explanation facilities in form of fuzzy rules, abilities to accommodate both data and existing knowledge about the problem under consideration. This paper introduces a model of fuzzy neural networks, called FuNN, and a general methodology for building adaptive, intelligent multi-modular FuNN-based systems. The use of this methodology for building intelligent adaptive speech interfaces to databases and for adaptive control and adaptive time-series prediction has been given as case study problems.