A robust regression based on weighted LSSVM and penalized trimmed squares

Jianyong Liu; Yong Wang; Fu Cheng-qun; Jie Guo; Qin Yu

doi:10.1016/j.chaos.2015.12.012

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JOURNAL ARTICLE

A robust regression based on weighted LSSVM and penalized trimmed squares

Jianyong Liu Yong Wang Fu Cheng-qun Jie Guo Qin Yu

Year: 2016 Journal: Chaos Solitons & Fractals Vol: 89 Pages: 328-334 Publisher: Elsevier BV

DOI: 10.1016/j.chaos.2015.12.012

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Keywords:

Support vector machine Least trimmed squares Outlier Robust regression Robustness (evolution) Mathematics Least-squares function approximation Least squares support vector machine Artificial intelligence Regression Pattern recognition (psychology) Statistics Computer science Algorithm Total least squares Chemistry

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Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Spectroscopy and Chemometric Analyses

Physical Sciences → Chemistry → Analytical Chemistry

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

A robust regression based on weighted LSSVM and penalized trimmed squares

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