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A new paradigm of knowledge engineering by soft computing /

Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allo...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: Fuzzy Logic Systems Institute, International Conference on Soft Computing
Otros Autores: Ding, Liya
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Singapore ; River Edge, NJ : World Scientific, ©2001.
Colección:FLSI soft computing series ; v. 5.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic hum.
Notas:Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998.
Descripción Física:1 online resource (xiv, 374 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9789812794604
9812794603