Adaptive neuro fuzzy inference system
An adaptive neuro-fuzzy inference system or adaptive network-based fuzzy inference system (ANFIS) is a kind of artificial neural network that is based on Takagi–Sugeno fuzzy inference system. The technique was developed in the early 1990s.[1][2] Since it integrates both neural networks and fuzzy logic principles, it has potential to capture the benefits of both in a single framework. Its inference system corresponds to a set of fuzzy IF–THEN rules that have learning capability to approximate nonlinear functions.[3] Hence, ANFIS is considered to be a universal estimator.[4]. For using the ANFIS in a more efficient and optimal way, one can use the best parameters obtained by genetic algorithm. [5]
References
- ^ Jang, Jyh-Shing R (1991). Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm (PDF). Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14–19. Vol. 2. pp. 762–767.
- ^ Jang, J.-S.R. (1993). "ANFIS: adaptive-network-based fuzzy inference system". IEEE Transactions on Systems, Man and Cybernetics. 23 (3). doi:10.1109/21.256541.
- ^ Abraham, A. (2005), "Adaptation of Fuzzy Inference System Using Neural Learning", in Nedjah, Nadia; de Macedo Mourelle, Luiza (eds.), Fuzzy Systems Engineering: Theory and Practice, Studies in Fuzziness and Soft Computing, vol. 181, Germany: Springer Verlag, pp. 53–83, doi:10.1007/11339366_3
- ^ Jang, Sun, Mizutani (1997) – Neuro-Fuzzy and Soft Computing – Prentice Hall, pp 335–368, ISBN 0-13-261066-3
- ^ {@article{Tahmasebi201218, title = "A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation ", journal = "Computers & Geosciences ", volume = "42", number = "", pages = "18 - 27", year = "2012", note = "", issn = "0098-3004", doi = "http://dx.doi.org/10.1016/j.cageo.2012.02.004", url = "http://www.sciencedirect.com/science/article/pii/S0098300412000398", author = "Pejman Tahmasebi and Ardeshir Hezarkhani", keywords = "Grade estimation", keywords = "Artificial neural networks", keywords = "Genetic algorithm", keywords = "Parallel optimization", keywords = "Coactive neuro-fuzzy inference system (CANFIS). " }}
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