In the field of artificial intelligence, neuro-fuzzy refers to hybrids of artificial neural networks and fuzzy logic. Although generally assumed to be the realization of a Fuzzy System through connectionist networks, this term is also used to describe some other configurations including:

*fuzzy logic based tuning of neural network training parameters *fuzzy logic criteria for increasing a network size *representing fuzzification, fuzzy inference and defuzzification through multi-layers feed-forward connectionist networks *realising fuzzy membership through clustering algorithms in unsupervised learning in SOMs and neural networks *deriving fuzzy rules from trained RBF networks