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Prediction of Freight Volume Based on Grey Correlation and Improved Grey Neural Network
Authors
Yong Jiang
Jiangping Wan
Publication date
5 July 2020
Publisher
AIS Electronic Library (AISeL)
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
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Last time updated on 29/11/2020