| 引用本文: | 王琨,王文帅,张夏,孙丽欣.基于BP神经网络模型的森林空气质量评价[J].哈尔滨工业大学学报,2010,42(8):1278.DOI:10.11918/j.issn.0367-6234.2010.08.021 |
| WANG Kun,WANG Wen-shuai,ZHANG Xia,SUN Li-xin.Evaluation of forest air quality based on BP neural network[J].Journal of Harbin Institute of Technology,2010,42(8):1278.DOI:10.11918/j.issn.0367-6234.2010.08.021 |
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| 摘要: |
| 为解决森林地区的空气评价问题,基于BP神经网络技术进行建立森林空气质量评价模型的研究,根据森林空气低污染、负离子高含量的特点,以SO2、NO2、PM10、O3和负离子为评价指标建立模型,并运用MATLAB工具软件实现.以伊春五营森林和城镇空气质量数据为实例,对模型进行对比检测,评价结果分别为9.13和8.56分,表明模型实用且可行. |
| 关键词: 森林空气 负离子 BP神经网络 空气质量评价 |
| DOI：10.11918/j.issn.0367-6234.2010.08.021 |
| 分类号:X823 |
| 基金项目:中国博士后科学基金(2005037655);黑龙江省科技攻关项目(GC05C603-01) |
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| Evaluation of forest air quality based on BP neural network |
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WANG Kun1, WANG Wen-shuai1, ZHANG Xia2, SUN Li-xin1
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1.School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China;2.Central University of Finance and Economics,Beijing 100081,China
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| Abstract: |
| To solve the problem about the evaluation of forest air,an eveluation model based on BP neural network was studied.According to the characteristics of forest air with low pollution and high-volume negative ions,the model was constructed by MATLAB with the indices of SO2,NO2,PM10,O3 and negative ion.The evaluation results are 9.13 and 8.56 respectively by comparing the statistic data of air quality in forest with those in the town in Yichun,which proves the feasibility of the model. |
| Key words: forest air negative ion BP neural network air quality evaluation |
