Sistemas neuro-difusos: técnicas de modelização não linear

Abstract

The artificial intelligence techniques 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 technique. 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 training data. There are several different implementations of Neuro-Fuzzy systems; therefore each author has defined its specific model. This article summarizes a general vision of the area describing the most known hybrid neuro-fuzzy techniques, its advantages and disadvantages.