DocumentCode :
1203179
Title :
Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems
Author :
Rong, Hai-Jun ; Huang, Guang-Bin ; Sundararajan, N. ; Saratchandran, P.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
39
Issue :
4
fYear :
2009
Firstpage :
1067
Lastpage :
1072
Abstract :
In this correspondence, an online sequential fuzzy extreme learning machine (OS-fuzzy-ELM) has been developed for function approximation and classification problems. The equivalence of a Takagi-Sugeno-Kang (TSK) fuzzy inference system (FIS) to a generalized single hidden-layer feedforward network is shown first, which is then used to develop the OS-fuzzy-ELM algorithm. This results in a FIS that can handle any bounded nonconstant piecewise continuous membership function. Furthermore, the learning in OS-fuzzy-ELM can be done with the input data coming in a one-by-one mode or a chunk-by-chunk (a block of data) mode with fixed or varying chunk size. In OS-fuzzy-ELM, all the antecedent parameters of membership functions are randomly assigned first, and then, the corresponding consequent parameters are determined analytically. Performance comparisons of OS-fuzzy-ELM with other existing algorithms are presented using real-world benchmark problems in the areas of nonlinear system identification, regression, and classification. The results show that the proposed OS-fuzzy-ELM produces similar or better accuracies with at least an order-of-magnitude reduction in the training time.
Keywords :
feedforward neural nets; function approximation; fuzzy neural nets; fuzzy reasoning; fuzzy set theory; fuzzy systems; learning (artificial intelligence); pattern classification; Takagi-Sugeno-Kang fuzzy inference system; bounded nonconstant piecewise continuous membership function; function approximation; generalized single hidden-layer feedforward network; nonlinear system identification; online sequential fuzzy extreme learning machine; pattern classification; regression analysis; Extreme learning machine (ELM); fuzzy inference system (FIS); online sequential ELM (OS-ELM); online sequential fuzzy ELM (OS-Fuzzy-ELM);
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2008.2010506
Filename :
4804697
Link To Document :
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