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State of the art in the neuro fuzzy field

This document describes the architecture of neuro fuzzy systems. First part of the document provides a review of general notions of fuzzy logic, and structure of fuzzy systems. A procedure and different types of fuzzy reasoning are described. The second part is devoted to the neural networks and to the simplest model of artificial neuron. In the third part, the similarities and differences between fuzzy systems and neural networks are discussed as well as their advantages and drawbacks and reasons for merging these two approaches. Then, three models of fuzzy neurons are presented, their learning methods, and the general architecture of fuzzy feed forward neural network. At least, the applications and hardware and development tools are described.