ARTIFICIAL NEURAL NETWORK CORRECTION OF ROUGH ERRORS OF OBSERVATIONS* |
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| Authors: | JIANG Guorong ZHANG Ren SHA Wenyu YAN Junyue and YAO Huadong |
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| Institution: | 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;YAO Huadong National Climate Center, Beijing 100081;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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