Abstract
Neurofuzzy systems are adaptive fuzzy systems that are able to learn using learning methods developed in the field of neural networks. Besides, neurofuzzy systems are assumed to have all important features of fuzzy systems, i.e., the knowledge represented by a neurofuzzy system should be transparent to human users.
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© 2003 Physica-Verlag Heidelberg
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Jin, Y. (2003). Evolutionary Design of Fuzzy Systems. In: Advanced Fuzzy Systems Design and Applications. Studies in Fuzziness and Soft Computing, vol 112. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1771-3_6
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DOI: https://doi.org/10.1007/978-3-7908-1771-3_6
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-2520-6
Online ISBN: 978-3-7908-1771-3
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