Water quality prediction method combining divide-and-conquer method and water quality periodicity
The invention discloses a water quality prediction method combining a divide-and-conquer method and water quality periodicity, and belongs to the technical field of water quality prediction. The water quality prediction method aims to solve the problem that complex change rules of water quality data...
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| creator | LI HONG ZOU XUAN FU JIANYU WU DI LIU WEN LI JIE GOU GUANGLEI WANG GUOYIN |
| description | The invention discloses a water quality prediction method combining a divide-and-conquer method and water quality periodicity, and belongs to the technical field of water quality prediction. The water quality prediction method aims to solve the problem that complex change rules of water quality data cannot be sufficiently learnt by a single predictor and accordingly prediction accuracy is poor, a problem decomposition solving frame based on data driving is adopted in the method, the frame can automatically divide problem space according to data characteristics in the learning process, the number of predictors does not need appointing by staff, and better robustness is achieved. Predictor effect evaluation and water quality data periodicity are combined, so that change characteristics of water quality data on the time scale are well utilized, and a more accurate problem decomposition algorithm is obtained. According to frame leaning content, data to be predicted are mapped to a predictor group correspondingly |
| format | Patent |
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The water quality prediction method aims to solve the problem that complex change rules of water quality data cannot be sufficiently learnt by a single predictor and accordingly prediction accuracy is poor, a problem decomposition solving frame based on data driving is adopted in the method, the frame can automatically divide problem space according to data characteristics in the learning process, the number of predictors does not need appointing by staff, and better robustness is achieved. Predictor effect evaluation and water quality data periodicity are combined, so that change characteristics of water quality data on the time scale are well utilized, and a more accurate problem decomposition algorithm is obtained. 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The water quality prediction method aims to solve the problem that complex change rules of water quality data cannot be sufficiently learnt by a single predictor and accordingly prediction accuracy is poor, a problem decomposition solving frame based on data driving is adopted in the method, the frame can automatically divide problem space according to data characteristics in the learning process, the number of predictors does not need appointing by staff, and better robustness is achieved. Predictor effect evaluation and water quality data periodicity are combined, so that change characteristics of water quality data on the time scale are well utilized, and a more accurate problem decomposition algorithm is obtained. According to frame leaning content, data to be predicted are mapped to a predictor group correspondingly</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Water quality prediction method combining divide-and-conquer method and water quality periodicity |
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