| 基于灰关联分析的神经网络组合预测模型 |
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| 引用本文： | 王秀.基于灰关联分析的神经网络组合预测模型[J].宁波职业技术学院学报,2010,14(5):38-41. |
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| 作者姓名： | 王秀 |
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| 作者单位： | 菏泽学院机电工程系,山东菏泽274000 |
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| 摘 要： | 针对提供的道路交通事故相关影响因子数据,构建了基于关联分析的灰色神经网络组合道路交通事故预测模型。结合实例,用所提出的模型给与了预测。结果表明,基于灰色关联分析神经网络预测模型充分发挥关联选优的优越性,比全输入神经网络预测模型有更好的预测精度,从而说明运用灰色关联分析方法对输入因子选择是有效可行的。基于灰色关联分析的神经网络组合交通事故预测模型充分发挥各单一模型的优点同时弱化了单一模型的缺点,比单一模型的预测结果更理想、精度更高。
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| 关 键 词： | 灰色理论 BP神经网络 道路交通事故预测 关联分析 |
Neural network combination forecasting model based on gray relationship analysis |
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| WANG Xiu.Neural network combination forecasting model based on gray relationship analysis[J].Journal of Ningbo Polytechnic,2010,14(5):38-41. |
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| Authors: | WANG Xiu |
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| Institution: | WANG Xiu(Mechanical and Electrical Engineering Department of Heze College,Heze 274000,China) |
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| Abstract: | In view of the all-sided data of the road traffic accidents relative gene offered,a grey relationship analysis BP neural network combined forecast model is constructed.At last we use those forecasting models that we put forward to forecast the road traffic accidents according to the statistics in the last few years.The result show that the grey relationship analysis BP neural network model give a full play to grey relational analysis,so using the grey relational analysis method to select the relational gene is reasonable and feasible.The grey relationship analysis BP neural network combined forecast model can take full advantage of every single model and avoid its disadvantage and the result of prediction is better and higher precision than that single model to draw. |
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| Keywords: | grey theory BP neural network road traffic forecast grey relationship analysis |
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