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What is Fuzzy Neural Networks Explained about?

A fuzzy neural network combines aspects of fuzzy logic systems and neural networks. It uses a learning method derived from neural networks to determine the parameters (fuzzy sets and rules) of an underlying fuzzy system. This allows the fuzzy system to learn and adapt automatically from examples in a way similar to neural networks. There are two main types: cooperative fuzzy neural networks where the fuzzy system and neural network work independently, and hybrid fuzzy neural networks where the fuzzy system

Author

NKIRINGI KIMAGAFUSI

Language

EN