A KNOWLEDGE BASED FRAMEWORK FOR THE DESIGN OF SOFT-COMPUTING SYSTEMS

摘要

This paper presents a systematic framework for the design of intelligent decision support systems based upon soft computing paradigms like neural networks, genetic algorithms, simulated annealing and fuzzy logic. The approach applies knowledge based systems techniques to support development and application of models in these computing paradigms. The long-term goal of this research is to automate the design of soft-computing systems from a domain expert's description of the problem situation and a set of input data.