The topic of the special issue is ''Hybrid Intelligent Adaptive Systems.'' Research on hybrid systems is one of the key issues of developing intelligent systems and it can apply a wide range of tools, including artificial neural networks, fuzzy logic, knowledge-based systems, genetic algorithms, evo
Microcomputer applications of hybrid intelligent systems
โ Scribed by Larry R. Medsker
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 138 KB
- Volume
- 19
- Category
- Article
- ISSN
- 1084-8045
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
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