fuzzy

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

See also

• Hybrid intelligent system
• ANFIS

The content of this page is retrieved from http://en.wikipedia.org/wiki/Neuro-fuzzy under GFDL