| 基于BP神经网络的预测模型 |
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| 引用本文： | 耿悦敏.基于BP神经网络的预测模型[J].广东交通职业技术学院学报,2007,6(4):46-48. |
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| 作者姓名： | 耿悦敏 |
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| 作者单位： | 广东交通职业技术学院,广东,广州,510650 |
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| 摘 要： | 预测是数据分析的基本任务之一,传统方法对非线性数据的预测不易找到简单而有效的模型,神经网络的产生为处理非线性问题提供了一条新途径。文中运用智能计算技术建立了BP网络模型。通过珠江三角洲天河水文站的水位预测结果表明,BP网络模型有较好的泛化能力,预测更为可靠。
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| 关 键 词： | 预测 BP神经网络 模型 |
| 文章编号： | 1671-8496-（2007）04-0046-03 |
| 收稿时间： | 2007-04-16 |
| 修稿时间： | 2007年4月16日 |
Forecast Model Based on BP Neural Network |
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| GENG Yue-min.Forecast Model Based on BP Neural Network[J].Journal of Guangdong Communication Polytechnic,2007,6(4):46-48. |
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| Authors: | GENG Yue-min |
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| Abstract: | The forecast is one of the basic tasks of data analysis; it's not easy for traditional method to find a simple and effective model inforecasting nonlinear data, the neural networks creation has provided a new approach to handling the nonlinear problem. This paper establishes BP neural network model by using intelligence computation. The experiment of forecast in Tianhe hydrometric Station of Pearl River Delta demonstrates that the BP network has better generalization ability and reliability |
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| Keywords: | forecast BP neural network model |
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