Microcomputer applications of hybrid intelligent systems

Hybrid intelligent technologies are becoming a part of the repertoire of computer systems developers and an important technique in the study of artificial intelligence. The integration of neural networks and expert systems has proven to be a useful way to develop real-world applications, and other intelligent technologies including fuzzy logic, genetic algorithms, and case-based reasoning are also receiving substantial attention. This article presents an analysis of the strengths and limitations of these five intelligent technologies, models for hybrid systems, and a review of the status and significance of research on and development of integrated intelligent technologies. Microcomputer-based applications and development environments are emphasized.