Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application

Twin Support Vector Regression Model Based on Heteroscedastic Gaussian Noise and Its Application

The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex quadratic programming problem into two small convex quadratic programming problems. Therefore, TSVR not onl...

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Bibliographic Details
Main Authors: Shiguang Zhang, Ge Feng, Feng Yuan, Shuangle Guo
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Twin support vector regression machine
heteroscedastic gaussian noise
short-term wind speed forecasting
inequality constraint
Online Access:https://ieeexplore.ieee.org/document/9921264/
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