| 基于神经网络的COD值预测研究 |
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| 引用本文： | 远振海,鲁治冰.基于神经网络的COD值预测研究[J].黑龙江水专学报,2008,35(1):84-86. |
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| 作者姓名： | 远振海 鲁治冰 |
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| 作者单位： | 1. 中国水利电力物资有限公司,北京,100045
2. 大唐长春第二热电有限责任公司,长春,130033 |
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| 摘 要： | 针对环境监测数据化学需氧量的预测问题．考虑其数据的反复性和实时性，选择神经网络算法进行分析研究。通过对BP算法和RBF算法的研究，确定了适合环境监测数据COD值的神经网络训练与预测模型。将此模型应用于广东省某污水处理厂进行试验，测试结果证明此算法具有一定的实用性和指导性。
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| 关 键 词： | BP算法 RBF算法 化学需氧量 预测 |
| 文章编号： | 1000-9833(2008)01-0084-03 |
| 修稿时间： | 2007年8月12日 |
COD Data Forecast Based on NN |
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| YUAN Zhen-hai,LU Zhi-bing.COD Data Forecast Based on NN[J].Journal of Heilongjiang Hydraulic Engineering College,2008,35(1):84-86. |
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| Authors: | YUAN Zhen-hai LU Zhi-bing |
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| Affiliation: | YUAN Zhen-hai1,LU Zhi-bing2(1.China National Water Resources & Electric Power Material & Equipment Co.Ltd.,Beijing 100045,China,2.Datang Changchun No.2 Co-generation Power Co.Ltd.,Changchun 130033,China) |
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| Abstract: | Considering of the repeated and real-time characteristic of Chemical Oxygen Demand data,the Nerve Network Algorithm is seleted to resovle the forecast problem of environment-monitoring data-COD.Based on the research of the BP arithmetic and RBF arithmetic,the NN training and forecast model which is suitable for the environment-monitoring data is proposed.Applying this model into a sewage plant of Guangdong Province,the testing result indicates that the project is practical and instructive. |
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| Keywords: | BP arithmetic RBF arithmetic COD forecast |
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