Multioutput adaptive neuro-fuzzy inference system

Authors:
T. Benmiloud
Affiliations:
Fac. of Electrical Engineering, Dept. of Electrotechnic, University of Sciences and Technology Oran, Laboratoire de Développement des Entraînements Electrique, Oran, Algeria
Venue:
NN'10/EC'10/FS'10 Proceedings of the 11th WSEAS international conference on nural networks and 11th WSEAS international conference on evolutionary computing and 11th WSEAS international conference on Fuzzy systems
Year:
2010

Citing 3
Cited 0

Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering

Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Applications in Engineering
Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications

Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications
Generalization of adaptive neuro-fuzzy inference systems

IEEE Transactions on Neural Networks

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Abstract

In this paper we propose a new type of multi output adaptive neuro-fuzzy inference system (MANFIS) with several outputs. To proves its performances, the proposed multi output ANFIS is used to make the approximation at the same time of three different functions. Simulation results show that this neuro-fuzzy system can approximate, with the desired precision, these three functions.