Application of data mining based on machine learning in automobile power prediction

Abstract

Automobile power prediction is the key to the automobile industry. Only by reasonably predicting the automobile power can we produce cars that meet the needs of consumers. Compared with traditional methods, machine learning model improves the accuracy of classification in power. Machine learning models include BP neural network, random forest and KNN algorithm. In order to select the optimal vehicle power prediction model, this paper compares the advantages and disadvantages of these three machine learning models through design experiments.

Topics & Concepts