Prediction of Second-Hand Sailboat Prices Based on GA-BP Model

Kaiyan Xiao; Huatai Pan; Shuo Zheng

doi:10.54097/hset.v70i.13894

Authors

Kaiyan Xiao
Huatai Pan
Shuo Zheng

DOI:

https://doi.org/10.54097/hset.v70i.13894

Keywords:

BP Neural Network, Genetic Algorithm, Prediction Model, Sensitivity Analysis.

Abstract

Second-hand sailboats now have a huge market worldwide. Accurate prediction of second-hand sailboat prices is of great significance for reducing market opacity, protecting consumer rights and improving social and economic benefits. In order to achieve accurate prediction of second-hand sailboat prices, genetic algorithm was used to optimize the parameters of the BP neural network and a GA-BP network model was constructed. The experiment shows that the prediction result of the GA-BP model for catamarans has a value of , which is significantly improved compared to the BP neural network.

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