| 快速二阶BP神经网络在公路交通量预测中的应用 |
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| 引用本文： | 杜国明,陈晓翔,曾志芳.快速二阶BP神经网络在公路交通量预测中的应用[J].中南公路工程,2006,31(2):48-50,88. |
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| 作者姓名： | 杜国明 陈晓翔 曾志芳 |
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| 作者单位： | [1]中山大学地理科学与规划学院,广东广州510275 [2]中山大学图书馆,广东广州510275 |
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| 基金项目： | “985工程”GIS与遥感的地学应用科技创新平台（105203200400006）;国家自然科学基金（40471105,40471106）;中山大学青年教师科研启动基金资助项目 |
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| 摘 要： | 在二阶BP神经网络基础上加以改进，提出一种快速二阶BP神经网络，并将把该方法成功地用于公路交通量的预测中，通过与其它方法的比较分析，得出快速二阶BP神经网络预测方法加快了收敛速度，提高了结果的准确度，为科学地预测公路交通量提供了有力依据。
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| 关 键 词： | 快速二阶BP神经网络 交通量 预测 |
| 文章编号： | 1002-1205（2006）02-0048-03 |
| 收稿时间： | 2004-12-08 |
| 修稿时间： | 2004-12-08 |
Fast Second Order BP Neural Networks and Its Application for Forecast Of Road Traffic Volume |
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| DU Guoming , CHEN Xiaoxiang , ZENG Zhifang.Fast Second Order BP Neural Networks and Its Application for Forecast Of Road Traffic Volume[J].Central South Highway Engineering,2006,31(2):48-50,88. |
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| Authors: | DU Guoming CHEN Xiaoxiang ZENG Zhifang |
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| Institution: | 1. School of Geography Sciences and Planning, Sun Yat-sen University, Guangzhou 510275, China; 2.Sun Yat-sen University Library, Guangzhou 510275, China |
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| Abstract: | A new kind of fast second order BP neural networks is presented in the paper based on the traditional BP neural networks. And this method is successfully tested by application in the forecast of road traffic volume. Compared with other methods of forecast, the new method is proved to improve the precision of forecast and reduces the iterative times, which provides a robust tool for the scientific forecast of road traffic volume. |
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| Keywords: | fast second order BP neural networks road traffic volume forecast |
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