Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms

Hideyuki Takagi
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Hideyuki Takagi: Kyushu Institute of Design, Dept of Acoustic Design

Chapter 1 in Intelligent Hybrid Systems, 1997, pp 3-33 from Springer

Abstract: Abstract This chapter introduces the basic concepts and concrete methodologies of fuzzy systems, neural networks, and genetic algorithms to prepare the readers for the following chapters. Focus is placed on (1) the similarities between the three technologies through the common keyword of nonlinear relationship in a multidimensional space and (2) how to use these technologies at a practical or programming level.

Keywords: Fuzzy System; Fuzzy Rule; Fuzzy Control; Knapsack Problem; Synaptic Weight (search for similar items in EconPapers)
Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-6191-0_1

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DOI: 10.1007/978-1-4615-6191-0_1

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