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Regression forecast model of support vector machine based on principal component analysis

Lei Wang

Open publisher page 3 citations

Abstract

Based on principal component analysis method,dimensions of samples are reduced,multiple regression forecast model is established based on principal component,coefficient of regression model is confirmed by using support vector machine,finally the example showed this model has higher forecast precision.

About this research paper

What this paper is about

Based on principal component analysis method,dimensions of samples are reduced,multiple regression forecast model is established based on principal component,coefficient of regression model is confirmed by using support vector machine,finally the example showed this model has higher forecast precision.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

Based on principal component analysis method,dimensions of samples are reduced,multiple regression forecast model is established based on principal component,coefficient of regression model is confirmed by using support vector machine,finally the example showed this model has higher forecast precision.

Key concepts: Principal component analysis, Principal component regression, Support vector machine, Regression analysis, Computer science, Component (thermodynamics), Regression, Functional principal component analysis

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