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Support vector fuzzy regression machines

โœ Scribed by Dug Hun Hong; Changha Hwang

Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
289 KB
Volume
138
Category
Article
ISSN
0165-0114

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โœฆ Synopsis

Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems. In this paper, we introduce the use of SVM for multivariate fuzzy linear and nonlinear regression models. Using the basic idea underlying SVM for multivariate fuzzy regressions gives computational e ciency of getting solutions.

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