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.
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Takagi, H. (1997). Introduction to Fuzzy Systems, Neural Networks, and Genetic Algorithms. In: Ruan, D. (eds) Intelligent Hybrid Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6191-0_1
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DOI: https://doi.org/10.1007/978-1-4615-6191-0_1
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