New energy automobile sales prediction method based on least square support vector machine

Abstract

The invention relates to a new energy automobile sales volume prediction method based on a least square support vector machine. The method is characterized by comprising the following steps: step 1, establishing a new energy automobile monthly sales volume prediction model based on the least square support vector machine; and step 2, solving the new energy automobile monthly sales prediction model based on the least square support vector machine constructed in the step 1, and outputting a prediction value. According to the method, the defects of a traditional linear regression model and a support vector machine are overcome, and the prediction precision can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of prediction of small samples and complex nonlinear problems, and relates to a new energy vehicle sales forecast method, in particular to a new energy vehicle sales forecast method based on a least squares support vector machine. Background technique [0002] The rapid development of the automobile industry is a miracle, but at the same time, about half of the total oil consumption comes from automobiles, and the problems of energy shortage and excessive carbon emissions caused behind it have caused considerable pressure on the economy and the environment , which changed the way people think about cars. [0003] Under the background of dual carbon, the strategy of "green and sustainable development" has been deepened into the development of various industries in my country, and new energy vehicles have emerged as the times require. The use of new energy vehicles can promote the transportation industry to r...

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Problems solved by technology

[0009] After searching, no published patent documents identical or similar to the present invention were found

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