| 适于水质评价的AdaBoost-NN模型研究 |
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| 引用本文： | 孙晓峰,何争光,高霞.适于水质评价的AdaBoost-NN模型研究[J].环境科学与技术,2007,30(11):66-69. |
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| 作者姓名： | 孙晓峰 何争光 高霞 |
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| 作者单位： | 郑州大学环境与水利工程学院,郑州,450002 |
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| 摘 要： | AdaBoost即自适应Boosting算法,它可以提高任意给定弱分类器的分类精度。文章将AdaBoost算法与神经网络结合,提出了AdaBoost-NN水质评价模型。实例样本水质评价结果表明:与传统的水质评价方法相比,AdaBoost-NN水质评价模型的准确度更高,结果更加客观、合理。
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| 关 键 词： | 水质评价 BP网络 AdaBoost 泛化 |
| 文章编号： | 1003-6504（2007）11-0066-04 |
| 修稿时间： | 2006-09-22 |
AdaBoost-NN Model for Water Quality Assessment |
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| SUN Xiao-feng,HE Zheng-guang,GAO Xia.AdaBoost-NN Model for Water Quality Assessment[J].Environmental Science and Technology,2007,30(11):66-69. |
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| Authors: | SUN Xiao-feng HE Zheng-guang GAO Xia |
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| Abstract: | Adaptive boosting algorithm (AdaBoost) may improve performance of any given classifier. The AdaBoost algorithm is applied to water quality assessment based on neural networks to set up an AdaBoost-NN model for comprehensive assessment of water quality. The accuracy of the model is examined with data of water quality, and results showed that AdaBoost-NN model for water quality assessment is more objective and reasonable compared with classic methods. |
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| Keywords: | water quality assessment BP network AdaBoost generation ability |
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