Neurofuzzy Systems

Ke-Lin Du () and M. N. S. Swamy
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Ke-Lin Du: Concordia University, Department of Electrical and Computer Engineering
M. N. S. Swamy: Concordia University, Department of Electrical and Computer Engineering

Chapter Chapter 27 in Neural Networks and Statistical Learning, 2019, pp 803-828 from Springer

Abstract: Abstract Hybridization of fuzzy logic and neural networks yields neurofuzzy systems, which capture the merits of both paradigms. This chapter first describes how to extract rules from neural networks and data, and then introduces how the synergy of fuzzy logic and neural network paradigms is implemented.

Date: 2019
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DOI: 10.1007/978-1-4471-7452-3_27

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