Neuro-Fuzzy Systems: A Survey

– The techniques of artificial intelligence based in fuzzy logic and neural networks are many times applied together. The reasons to combine these two paradigms come out of the difficulties and inherent limitations of each isolated paradigm. Generically, when they are used in a combined way, they are called Neuro-Fuzzy Systems. This term, however, is many times used to assign a specific type of system that integrates both techniques. This type of system is characterised for a fuzzy system where fuzzy sets and fuzzy rules are adjusted using input output patterns. There are several different implementations of neuro-suzzy systems, therefore each author defined its own model. This article summarizes a general vision of the area describing the most known hybrid neuro-fuzzy techniques, its advantages and disadvantages.