Prediction of Freight Volume Based on Grey Correlation and Improved Grey Neural Network

Authors

Yong Jiang, School of Business Administration, South China University of Technology, Guangzhou, 510641, ChinaFollow
Jiangping Wan, School of Business Administration, South China University of Technology, Guangzhou, 510641, ChinaFollow

Abstract

此处通过灰色关联分析确定影响货运量的关键因素，将这些关键因素作为灰色神经网络模型的输入，并通过遗传算法提高灰色神经网络的权重和阈值，从而避免了模型的失误。重叠局部最优。各种不同模型的预测结果表明，基于遗传算法优化的灰色神经网络具有较高的预测精度，证明了该模型合理可靠，可为货运量预测提供参考。

Recommended Citation

Jiang, Yong and Wan, Jiangping, "Prediction of Freight Volume Based on Grey Correlation and Improved Grey Neural Network" (2020). WHICEB 2020 Proceedings. 26.
https://aisel.aisnet.org/whiceb2020/26