| ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS |
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| 作者姓名： | 蒋国荣 张韧 沙文钰 阎俊岳 姚华栋 |
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| 作者单位： | Institute of Meteorology PLA University of Sciences and Engineering，Nanjing 211101，Institute of Meteorology，PLA University of Sciences and Engineering，Nanjing 211101，Institute of Meteorology，PLA University of Sciences and Engineering，Nanjing 211101，National Climate Center.Beijing 100081，National Climate Center.Beijing 100081 |
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| 基金项目： | This work is supported jointly by the Project of Funds for University-Level Remarkable Teachers,Education Ministry of China，by the Program of 2000 South-China Sea Flux Observations. |
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| 摘 要： | In the context of tower measured radiation datasets.following the correction principle meetinga diagnostic equation in data quality control and in terms of a technique for model construction ondata and ANN(artificial neural network)retrieval for BP correction of radiation measurementswith rough errors available,a BP model is presented.Evidence suggests that the developed modelworks well and is superior to a convenient multivariate linear regression model,indicating its wideapplications.
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ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS |
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| JIANG Guorong ZHANG Ren SHA Wenyu Institute of Meteorology,PLA University of Sciences and Engineering,Nanjing YAN Junyue YAO Huadong National Climate Center.ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS[J].Acta Meteorologica Sinica,2002(1). |
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| Authors: | JIANG Guorong ZHANG Ren SHA Wenyu Institute of Meteorology PLA University of Sciences and Engineering Nanjing YAN Junyue YAO Huadong National Climate Center |
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| Institution: | JIANG Guorong ZHANG Ren SHA Wenyu Institute of Meteorology,PLA University of Sciences and Engineering,Nanjing 211101YAN Junyue YAO Huadong National Climate Center.Beijing 100081 |
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| Abstract: | In the context of tower measured radiation datasets.following the correction principle meeting a diagnostic equation in data quality control and in terms of a technique for model construction on data and ANN(artificial neural network)retrieval for BP correction of radiation measurements with rough errors available,a BP model is presented.Evidence suggests that the developed model works well and is superior to a convenient multivariate linear regression model,indicating its wide applications. |
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| Keywords: | artificial neural network(ANN) BP(backward propagation)net rough errors error correction radiation |
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