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How many layers are there in Adaptive Neuro Fuzzy Inference Systems Anfis? 

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In our proposed system adaptive fuzzy neural network(anfis) has less error and system worked more accurate and appropriative than prior methods.
The ANFIS is an attractive compromise between the adaptability of a neural network and interpretability of a fuzzy inference system.
The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Open accessJournal ArticleDOI
Hsiu Jen Liu, Kuu-Young Young 
20 Citations
To provide better adaptive capability, we propose using the adaptive neuro-fuzzy inference system (ANFIS) to realize the fuzzy system.
Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.
By applying this methodology to a great variety of neuro-fuzzy systems, it is possible to obtain general results about the most relevant factors defining the neural network design.
The proposed methods can avoid the curse of dimensionality that is encountered in backpropagation and hybrid adaptive neuro-fuzzy inference system (ANFIS) methods.

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