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Temperature prediction control based on least squares support vector machines

โœ Scribed by Bin Liu; Hongye Su; Weihua Huang; Jian Chu


Publisher
South China University of Technology and Academy of Mathematics and Systems Science, CAS
Year
2004
Tongue
English
Weight
536 KB
Volume
2
Category
Article
ISSN
1672-6340

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In this paper we apply a recently proposed technique of optimal control by support vector machines (SVMs) to chaos control. Vapnik's support vector method, which is based on the structural risk minimization principle and has been very successful in classi"cation and function estimation problems, is