| 基于随机样本的BP模型在水质评价中的应用 |
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| 引用本文： | 邹志红,王学良.基于随机样本的BP模型在水质评价中的应用[J].环境工程,2007,25(1):69-71. |
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| 作者姓名： | 邹志红 王学良 |
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| 作者单位： | 北京航空航天大学经济管理学院,北京,100083 |
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| 摘 要： | 运用BP(误差反向传播)模型对水环境质量进行综合评价,主要针对以前BP模型在水质评价中存在的学习训练样本过少,没有检验样本等问题,用随机数发生器在每个级别范围内产生大量的数据作为训练样本和检验样本,并尝试以MSE函数生成均方误差作为检验样本的输出值与期望输出值的比较,检验网络评价未知样本的能力,大大提高了神经网络评价水质时的精度。
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| 关 键 词： | BP神经网络 水质综合评价 随机数样本 检验 |
| 修稿时间： | 2006-03-23 |
APPLICATION OF BP MODELING BASED-ON RANDOM SAMPLES TO ASSESSMENT ON NATURAL WATER QUALITY |
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| Zou Zhihong,Wang Xueliang.APPLICATION OF BP MODELING BASED-ON RANDOM SAMPLES TO ASSESSMENT ON NATURAL WATER QUALITY[J].Environmental Engineering,2007,25(1):69-71. |
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| Authors: | Zou Zhihong Wang Xueliang |
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| Institution: | Zou Zhihong Wang Xueliang |
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| Abstract: | This paper presents an error back propagation model to evaluate water quality comprehensively.Aiming at the problems of few training samples and no testing samples when error back propagation model is applied in the field of water quality assessment,a great number of data can be generated through uniform distribution random function as training samples and testing samples.Trying to anlysize the relationships of the output of testing samples and the expecting output using the MSE function in MATLAB 7 could raise the accountability of new sampling.This can greatly improve the accurancy of the ANN model in the water quality evaluation. |
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| Keywords: | BPANN water quality synthetic evaluation random samples and testing |
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