Residual Value Prediction of New Energy Vehicles Based on Machine Learning Algorithms
The FVIM-XGBoost regression algorithm is proposed, which integrates the four-vector intelligent meta-heuristic optimization algorithm and the extreme gradient boosting model and performs better in regression prediction tasks and can provide precise and reliable technical support for the assessment of the residual value...