Multi-Dimensional Global Approximation Method Based Improved MARS
2013 ◽
Vol 655-657
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pp. 1005-1008
Keyword(s):
Global approximation for a complex “black-box” model (like a simulation model) with large domain or multi-dimensions can be applied in many fields such as parameter experiment, sensibility analysis, real-time simulation, and design/control optimization. For multi-dimensional global approximation, MARS (multi-variant adaptive regression splines) has unquestionable predominance over other common-used metamodel techniques. However, MARS has its own inevitable drawbacks which limit the range of its applications. This paper proposes a multi-dimensional global approximation method based improved MARS .Some tests and applications are given to prove the performance of the method.
2007 ◽
Vol 37
(2)
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pp. 333-340
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2005 ◽
Vol 21
(7)
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pp. 689-699
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2008 ◽
Vol 53
(6)
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pp. 1165-1175
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2019 ◽
Vol 84
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pp. 461-471
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2007 ◽
Vol 80
(8)
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pp. 1349-1361
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