| 基于混沌神经网络的交通事故损失预测 |
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| 引用本文： | 谢小鱼,唐志强,张生.基于混沌神经网络的交通事故损失预测[J].山西科技,2006(2):97-98,101. |
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| 作者姓名： | 谢小鱼 唐志强 张生 |
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| 作者单位： | 1. 湖南省路桥建设集团公司
2. 长沙理工大学交通运输学院 |
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| 摘 要： | 文章应用混沌方法对交通事故损失时间序列进行处理，计算出最大Lyapunov指数，得到最大可预报时间尺度，在此基础上，建立人工神经网络预测混沌时间序列的模型。最后运用该方法对我国交通事故损失进行了预测分析。
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| 关 键 词： | 混沌神经网络 交通事故 损失预测 |
| 文章编号： | 1004-6429（2006）02-0097-03 |
| 收稿时间： | 2005-12-05 |
| 修稿时间： | 2005-12-05 |
The Loss Prediction of Traffic Accidents Based on Fuzzy Nerve Network |
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| Xie Xiaoyu,Tang Zhiqiang,Zhang Sheng.The Loss Prediction of Traffic Accidents Based on Fuzzy Nerve Network[J].Shanxi Science and Technology,2006(2):97-98,101. |
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| Authors: | Xie Xiaoyu Tang Zhiqiang Zhang Sheng |
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| Abstract: | The fuzzy method is applied to analyze the data of traffic accident loss which is observed by time sequel, and the largest Lyapunov exponent is calculated. On this basis, the method of forecasting time sequence with artificial neural network is presented. And this method is applied to analyze forecast in our country traffic accident loss. |
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| Keywords: | fuzzy nerve network traffic accident loss prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
