An improved support vector regression using least squares method

Due to the good performance in terms of accuracy, sparsity and flexibility, support vector regression (SVR) has become one of the most popular surrogate models and has been widely researched and applied in various fields. However, SVR only depends on a subset of the training data, because the ε -ins...

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Veröffentlicht in:	Structural and multidisciplinary optimization 2018-06, Vol.57 (6), p.2431-2445
Hauptverfasser:	Yan, Cheng, Shen, Xiuli, Guo, Fushui
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Computational Mathematics and Numerical Analysis Engineering Engineering Design Feature extraction Ingredients Least squares method Mathematical models Regression Research Paper Support vector machines Theoretical and Applied Mechanics Training
Online-Zugang:	Volltext
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