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Neuro-fuzzy and soft computing: a computational

Neuro-fuzzy and soft computing: a computational

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence. Chuen-Tsai Sun, Eiji Mizutani, Jyh-Shing Roger Jang

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence


Neuro.fuzzy.and.soft.computing.a.computational.approach.to.learning.and.machine.intelligence.pdf
ISBN: 0132610663,9780132610667 | 640 pages | 16 Mb


Download Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence



Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence Chuen-Tsai Sun, Eiji Mizutani, Jyh-Shing Roger Jang
Publisher: Prentice Hall




Defining Artificial Intelligence; General Problem Solving Approaches in AI; The Disciplines of Artificial Intelligence. Upper Saddle River NJ: Prenctice Hall; 1997. Jang J-SR: Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Applications of Artificial Intelligence machine without learning capability cannot possess perception. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. The achievement of EDM process is affected by many input parameters; therefore, the computational relations between the output responses and controllable input parameters must be known. Neuro-Fuzzy Modeling and Gentle Computing locations distinct emphasis on the theoretical facets of covered methodologies, as effectively as empirical observations and verifications of a variety of applications in apply. Neuro-Fuzzy and Soft Computing,A Computational Approach to Learning and Machine Intelligence点评:本书为Lofti A. Sugeno M: Fuzzy measures and fuzzy integrals: a survey. JYH-SHING ROGER JANG, CHUEN-TSAI SUN & EIJI MIZUTANI (1997); Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall Publishers.JOHN R. Based on this approach, a fuzzy inference system can be automatically built from practical data .. The Subject of Artificial Intelligence. The rational action of an agent (actor), thus, calls for possession of all the elementary characteristics of intelligence. However, the proper selection of these Because of the advantages of the artificial intelligence systems, many researchers studied to find the relationships between input and output parameters in EDM process by using soft computing techniques. Jang JSR, Sun CT, Mizutani E: Neuro-fuzzy and soft computing: a Computational approach to learning and machine intelligence. Introduction to Artificial Intelligence. Hand DJ: Discrimination and classification. To make this model selection procedure convenient for clinical use, a learning technique based on neuro-fuzzy systems originally proposed for intelligence control was used for the current study.