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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17054
Title: A Modified Extreme Learning ANFIS for Higher Dimensional Regression Problems
Authors: Pramod C.P.
Tomar M.S.
Pillai, Gopinatha Nath
Ghosh A.K.
Verma N.K.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Extreme learning adaptive neuro-fuzzy inference system (ELANFIS) is a new learning machine which integrates reduction of computational complexity of extreme learning machine (ELM) concept to ANFIS. ELANFIS uses Takagi–Sugeno–Kang (TSK) fuzzy inference system like ANFIS which gives accurate models. Grid partitioning is used in both ANFIS and ELANFIS which has the disadvantage of curse of dimensionality. In this paper, a modified ELANFIS using sub-clustering for input space partitioning is proposed for higher dimensional regression problems. In the proposed structure, sub-clustering is used for input space partitioning of the network. The cluster centers are used to obtain the premise parameters of the ELANFIS, such that it satisfies the constraints for obtaining distinguishable membership functions. Performance of the modified ELANFIS is compared with ANFIS and ELANFIS for real-world higher dimensional regression problems. The modified ELANFIS overcomes the curse of dimensionality with better interpretability compared to ANFIS and ELANFIS. © 2019, Springer Nature Singapore Pte Ltd.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2019), 279- 292
URI: https://doi.org/10.1007/978-981-13-1135-2_22
http://repository.iitr.ac.in/handle/123456789/17054
Issue Date: 2019
Publisher: Springer Verlag
Keywords: ELANFIS
Higher dimensional regression
Sub-clustering
ISBN: 9.78981E+12
ISSN: 21945357
Author Scopus IDs: 56919678500
57203912411
7005839948
Author Affiliations: Pramod, C.P., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Tomar, M.S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Pillai, G.N., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Pramod, C.P.; Department of Electrical Engineering, Indian Institute of Technology RoorkeeIndia; email: cppramod.cpp@gmail.com
Appears in Collections:Conference Publications [EE]

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