Takagi-Sugeno Based Controller for Mobile Robot Navigation

Kermiche, Salah; Saidi, Meryem; Abbassi, Hadj Ahmed; Ghodbane, Hatem

doi:10.3923/jas.2006.1838.1844

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Learning Algorithms Of Anfis Subtractive Clustering1

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Cited by 8 publications

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“…The fuzzy inference mechanism based on Sugeno [5,6,7] is applied in this paper, and ANFIS structure diagram is aroused on this basis. In general, the number of fuzzy neural network input subset and original model are confirmed on experience, which has a lot of randomness.…”

Section: Learning Algorithms Of Anfis Subtractive Clusteringmentioning

confidence: 99%

Evaluate Fabric Wrinkle Grade Based on Subtractive Clustering Adaptive Network Fuzzy Inference Systems

Yang

2011

AMR

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In this paper, a new method of subtractive clustering adaptive network fuzzy inference systems is proposed to assess degree of wrinkle in the fabric. The clustering center can be gotten through subtractive clustering algorithm, which is the base to set up adaptive network inference systems. Firstly, subtractive clustering algorithm is used to confirm the structure of fuzzy neural network, then, fuzzy inference system is used to process pattern recognition. Finally, four kinds of fabric wrinkle feature parameters are used to verify the results on real fabric. The results show the applicability of the proposed method to real data.

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Section: Learning Algorithms Of Anfis Subtractive Clusteringmentioning

confidence: 99%