Image similar water regimen mining and forecasting method based on rainfall spatial distribution
The invention discloses an image similar water regimen mining and forecasting method based on rainfall spatial distribution. The method comprises the following steps: S1, collecting rainfall runoff data of a drainage basin and dividing sessions; s2, interpolating observation station observation data...
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| creator | WANG XIAOPENG CAO HUI ZHAO JIE LIU YANGHE TANG ZHENGYANG WU BIQIONG JIA BENJUN ZHANG HAIRONG YAO HUAMING ZHANG DONGJIE |
| description | The invention discloses an image similar water regimen mining and forecasting method based on rainfall spatial distribution. The method comprises the following steps: S1, collecting rainfall runoff data of a drainage basin and dividing sessions; s2, interpolating observation station observation data, and making a rainfall spatial distribution sample image set; s3, preprocessing the sample image set, and dividing the sample image set into a training set and a test set; s4, improving a residual network model, improving a full connection layer into a global average pooling layer, transplanting pre-trained weights and parameters to the improved residual network model, constructing an input and output layer, calculating feature vectors of the rainfall spatial distribution map, calculating Euclidean distances of the feature vectors and taking the Euclidean distances as similarity, and constructing a complete grid rainfall similarity discrimination model; s5, searching a historical similar rainfall process by using |
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The method comprises the following steps: S1, collecting rainfall runoff data of a drainage basin and dividing sessions; s2, interpolating observation station observation data, and making a rainfall spatial distribution sample image set; s3, preprocessing the sample image set, and dividing the sample image set into a training set and a test set; s4, improving a residual network model, improving a full connection layer into a global average pooling layer, transplanting pre-trained weights and parameters to the improved residual network model, constructing an input and output layer, calculating feature vectors of the rainfall spatial distribution map, calculating Euclidean distances of the feature vectors and taking the Euclidean distances as similarity, and constructing a complete grid rainfall similarity discrimination model; s5, searching a historical similar rainfall process by using</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING METEOROLOGY PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR TESTING |
| title | Image similar water regimen mining and forecasting method based on rainfall spatial distribution |
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