Based on particle swarm optimization support vector machine model of the electric car sales strategy research

TL;DR

This paper develops a support vector machine model optimized with particle swarm optimization to analyze and improve electric car sales strategies by examining influencing factors across brands.

Contribution

It introduces a novel combination of particle swarm optimization with support vector machines for electric vehicle sales strategy analysis.

Findings

Identifies key factors influencing electric car sales.

Optimizes sales strategies based on model analysis.

Provides a classification framework for sales impact assessment.

Abstract

From the perspective of constructing the classification model, this paper uses the weight coefficient (influencing factors) in the model to analyze the sales impact on different brands of electric vehicles, and optimizes the existing sales strategy.