| MATLAB神经网络在湖库富营养化程度评价中的应用 |
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| 引用本文： | 包艳飞,崔东文.MATLAB神经网络在湖库富营养化程度评价中的应用[J].华北水利水电学院学报,2011(6):155-160. |
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| 作者姓名： | 包艳飞 崔东文 |
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| 作者单位： | 云南省水文水资源局曲靖分局;文山州水务局 |
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| 摘 要： | 基于MATLAB神经网络和我国湖库富营养化评价标准,运用人工神经网络模式识别理论和方法,分别建立了BP,PNN,GRNN和Elman神经网络湖泊富营养化等级评价模型,对全国24个主要湖泊富营养化程度进行评价,并与文献5]和文献9]的评价结果进行比较.结果表明:基于MATLAB神经网络模型评价湖库富营养化程度是可行的...
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| 关 键 词： | MATLAB神经网络 富营养化 湖泊 |
Application of MATLAB Neural Network in Lake and Reservoir Eutrophication Evaluation |
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| BAO Yan-fei,CUI Dong-wen.Application of MATLAB Neural Network in Lake and Reservoir Eutrophication Evaluation[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2011(6):155-160. |
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| Authors: | BAO Yan-fei CUI Dong-wen |
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| Affiliation: | 1.Qujing Substation,Yunnan Hydrology and Water Resources Bureau,Qujing 655000,China; 2.Wenshan Water Resources Association,Wenshan 663000,China) |
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| Abstract: | Based on MATLAB neural network and lake eutrophication evaluation crieria,using artificial neural network pattern recoginition theory and methods,the neural network evaluation models of lake eutrophication level were established by BP,PNN,GRNN and Elman to analyse the eutrophication level of 24 major lakes in our country.The analytical results were compared with the results from literature 5] and literature 9].The results show that the lake eutrophication evaluation level model based on MATLAB is feasible,and the evaluation model is simple and high precision,and is a new method for evaluating eutrophication level of lakes. |
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| Keywords: | MATLAB neural network eutrophication lakes |
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