A Parameterized Comparison of Fuzzy Logic, Neural Network and Neuro- Fuzzy System: A Literature
نویسنده
چکیده
A neuro-fuzzy system is the combined the advance feature of fuzzy logic and neural network, it is simply a fuzzy inference system that is trained by the learning concept of neural network. In NFS learning mechanism fine-tunes the underlying fuzzy inference system. This paper presents fundamental concepts and parameterized comparison in the aspects of fuzzy logic, neural network and neuro-fuzzy systems. The motivation of this paper to represent a precise and clear view in all possible parameter that can affect the outcome of any problem that uses these techniques either combine or stand alone.
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