Produção Nacional
Neurofuzzy Controllers
1992; Elsevier BV; Volume: 25; Issue: 25 Linguagem: Inglês
10.1016/s1474-6670(17)49573-5
ISSN2589-3653
AutoresFernando Gomide, Anderson Rocha, Pedro Albertos,
Tópico(s)Cognitive Science and Mapping
ResumoFuzzy modeling and control is a technique for handling qualitative information in a formal way. The greater simplicity of implementing fuzzy control systems may reduce design complexity and solve classes of previously intractable problems. Neural nets have come to mean architetures that have massively parallel interconnections of single, neuronlike processors. In control systems, they where first introduced to learn input-output mappings. This paper reviews the underlying ideas and applications of fuzzy and neural control systems. Neurofuzzy control and decision systems that are being developed are particularly emphasized. The key ideas behind these systems are outlined, and currently avaiable hardware and support tools described. Finally, it is suggested how neurofuzzy systems may be used to construct control systems with improved capatibilities.
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