Multi-variable regression methods using modified Chebyshev polynomials of class 2

DOI10.1016/j.cam.2018.04.022zbMath1452.62487OpenAlexW2820480747WikidataQ129565251 ScholiaQ129565251MaRDI QIDQ1624689

Hao Liu, Fan Zhang, Zibo Li, Guangmin Sun, Ruihuan Zhang, Yu Li, Dequn Zhao, Cunfu He, Xiucheng Liu

Publication date: 16 November 2018

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2018.04.022

zbMATH Keywords

polynomial regressionfeature selectioncascade regressionChebyshev polynomials of class 2

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) General nonlinear regression (62J02)

Related Items (1)

Modified Chebyshev collocation method for delayed predator-prey system

Uses Software

• UCI-ml

Cites Work

• PLS generalised linear regression
• Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification
• A multi-objective evolutionary algorithm for feature selection based on mutual information with a new redundancy measure
• An adaptive support vector regression based on a new sequence of unified orthogonal polynomials
• Using Chebyshev polynomials to approximate partial differential equations
• Incremental modeling of a new high-order polynomial surrogate model
• Interpolation and Extrapolation Optimal Designs 1
• Robust solutions of inverse problems in electromagnetic non-destructive evaluation
• A Simple Solution for Optimal Chebyshev Regression Extrapolation

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