| 基于神经网络的公路运输量预测模型及应用 |
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| 引用本文： | 伍雄斌,刘伟,郭建钢.基于神经网络的公路运输量预测模型及应用[J].福建农林大学学报(自然科学版),2007,36(1):110-112. |
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| 作者姓名： | 伍雄斌 刘伟 郭建钢 |
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| 作者单位： | 1. 福建农林大学交通学院,福建,福州,350002
2. 福建公安高等专科学校,福建,福州,350007 |
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| 基金项目： | 福建省自然科学基金
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福建省教育厅科研项目 |
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| 摘 要： | 以福建省公路旅客周转量和货物周转量的统计资料为基础,结合神经网络技术原理,应用BP神经网络方法建立3维输入、单输出、隐层单元数为15的3层神经网络模型,分别对福建省公路旅客周转量和货物周转量进行预测.结果表明,各月的旅客周转量和货物量预测值的最大相对误差的绝对值分别为0.4890%和0.4495%.该模型具有简便实用、预测精度高的优点.
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| 关 键 词： | 交通工程 BP神经网络 旅客周转量 货物周转量 |
| 文章编号： | 1671-5470(2007)01-0110-03 |
| 修稿时间： | 2006-11-06 |
Predicting highway transportation volume based on BP neural network |
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| WU Xiong-bin,LIU Wei,GUO Jian-gang.Predicting highway transportation volume based on BP neural network[J].Journal of Fujian Agricultural and Forestry University,2007,36(1):110-112. |
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| Authors: | WU Xiong-bin LIU Wei GUO Jian-gang |
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| Institution: | 1. College of Traffic, Fujian Agriculture and Forestry University, Fuzhou, Fujian 350002, China; 2. College of Fujian Public Safety, Fuzhou, Fujian 350007, China |
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| Abstract: | Based on the data of highway passenger-kilometers and freight-kilometers in Fujian Province,the neural network model with three inputs and single output were established,and highway passenger-kilometers and freight-kilometers were predicted.The results showed that the highest predicting accuracy of the passenger-kilometer and freight-kilometer in each month were 0.4890% and 0.4495%,respectively.The model was easy,practical and feasible,which also had high accuracy. |
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| Keywords: | traffic engineering BP neural network passenger-kilometer freight-kilometer |
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