Author:
Wang Mohan,Lu Bo,Wang Hao
Abstract
In recent years, the shipping industry's share of world trade has been increasing year by year. As an important part of the shipping market, the accurate price prediction of second-hand sailboats is of great significance to grasping the price factors and improving the social and economic benefits. To accurately predict the price of second-hand sailboats, the artificial bee colony algorithm (ABC) is used to improve the BP neural network model, to solve the problem of overfitting of BP neural network. At the same time, compared with the prediction using Hyperopt improved XGBoost algorithm, the prediction effect of ABC-BP is better, and the fitting coefficient of the prediction results can reach 0.92.
Publisher
Darcy & Roy Press Co. Ltd.
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