| 基于随机灰色蚁群神经网络的集装箱结点站运量预测 |
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| 引用本文： | 朱昌锋.基于随机灰色蚁群神经网络的集装箱结点站运量预测[J].铁道科学与工程学报,2011(2):81-85. |
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| 作者姓名： | 朱昌锋 |
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| 作者单位： | 兰州交通大学交通运输学院; |
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| 基金项目： | 教育部“春晖计划”项目(Z2005-1-62008); 甘肃省自然科学基金资助项目(ZS022-A25-036) |
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| 摘 要： | 根据铁路集装箱运量预测受到多因素影响以及非线性的特点,利用随机灰色变量描述预测系统的不确定性,建立了随机灰色预测模型以及基于蚁群算法的递归神经网络模型,在此基础上,提出了一种基于随机灰色蚁群神经网络的集装箱结点站运量预测方法.最后,以兰州铁路局兰州北站为例,对模型的预测精度和有效性进行分析.研究结果表明:基于蚁群算法的...
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| 关 键 词： | 灰色模型 神经网络 随机 蚁群优化算法 |
Combined forecasting model and application based on random gray gnt colony neural network |
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| ZHU Chang-feng.Combined forecasting model and application based on random gray gnt colony neural network[J].Journal of Railway Science and Engineering,2011(2):81-85. |
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| Authors: | ZHU Chang-feng |
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| Institution: | ZHU Chang-feng(School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | According to characteristic of multiple factor and nolinear on freight volume forecasting of railway container node station,using the uncertainty of forecasting system while representing of stochastic gray variable,models of random gray and recurrent neural network based on ant colony optimization algorithm were proposed.On that basis,a model was built to forecast volume of railway container node station based on random gray ant colony neural network.Finally a case study was carried out to forecast north st... |
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| Keywords: | gray model neural network random ant colony optimization algorithm |
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