BOOK-CHAPTER
Evolutionary Design of Fuzzy Systems
Year: 2003 Studies in fuzziness and soft computing Pages: 143-171 Publisher: Springer Nature
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.
Keywords:
Fuzzy logic Computer science Artificial intelligence Artificial neural network Neuro-fuzzy Field (mathematics) Fuzzy control system Machine learning Mathematics
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Topics
Fuzzy Logic and Control Systems
Physical Sciences → Computer Science → Artificial Intelligence
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Evolutionary Algorithms and Applications
Physical Sciences → Computer Science → Artificial Intelligence
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