Soil erosion degree prediction method
The invention discloses a soil erosion degree prediction method, which comprises the steps of determining a historical time point for selecting soil erosion historical data according to a time span ofa prediction time point for predicting soil erosion; training a BP neural network by utilizing the r...
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| creator | WANG WEI DANG YONGFENG SHAO JING'AN GAO CHENGDA |
| description | The invention discloses a soil erosion degree prediction method, which comprises the steps of determining a historical time point for selecting soil erosion historical data according to a time span ofa prediction time point for predicting soil erosion; training a BP neural network by utilizing the rainfall erosion data of the year where the historical time point is located and the rainfall erosion force of the year where the current time point is located to obtain a rainfall erosion force prediction model; calculating rainfall erosion data of the year where the current time point is located by using the rainfall erosion force prediction model, and simulating rainfall erosion force of the year where the prediction time point is located; and predicting the soil erosion amount of the year where the prediction time point is located by utilizing the obtained rainfall erosion force of the year where the prediction time point is located and the soil data of the year where the prediction timepoint is located.
本发明公开了一 |
| format | Patent |
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本发明公开了一</description><language>chi ; eng</language><subject>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</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191022&DB=EPODOC&CC=CN&NR=110363322A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191022&DB=EPODOC&CC=CN&NR=110363322A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>DANG YONGFENG</creatorcontrib><creatorcontrib>SHAO JING'AN</creatorcontrib><creatorcontrib>GAO CHENGDA</creatorcontrib><title>Soil erosion degree prediction method</title><description>The invention discloses a soil erosion degree prediction method, which comprises the steps of determining a historical time point for selecting soil erosion historical data according to a time span ofa prediction time point for predicting soil erosion; training a BP neural network by utilizing the rainfall erosion data of the year where the historical time point is located and the rainfall erosion force of the year where the current time point is located to obtain a rainfall erosion force prediction model; calculating rainfall erosion data of the year where the current time point is located by using the rainfall erosion force prediction model, and simulating rainfall erosion force of the year where the prediction time point is located; and predicting the soil erosion amount of the year where the prediction time point is located by utilizing the obtained rainfall erosion force of the year where the prediction time point is located and the soil data of the year where the prediction timepoint is located.
本发明公开了一</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZFANzs_MUUgtyi_OzM9TSElNL0pNVSgoSk3JTC4BieSmlmTkp_AwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDA2MzY2MjI0djYtQAAEUYJyo</recordid><startdate>20191022</startdate><enddate>20191022</enddate><creator>WANG WEI</creator><creator>DANG YONGFENG</creator><creator>SHAO JING'AN</creator><creator>GAO CHENGDA</creator><scope>EVB</scope></search><sort><creationdate>20191022</creationdate><title>Soil erosion degree prediction method</title><author>WANG WEI ; DANG YONGFENG ; SHAO JING'AN ; GAO CHENGDA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110363322A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>WANG WEI</creatorcontrib><creatorcontrib>DANG YONGFENG</creatorcontrib><creatorcontrib>SHAO JING'AN</creatorcontrib><creatorcontrib>GAO CHENGDA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG WEI</au><au>DANG YONGFENG</au><au>SHAO JING'AN</au><au>GAO CHENGDA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Soil erosion degree prediction method</title><date>2019-10-22</date><risdate>2019</risdate><abstract>The invention discloses a soil erosion degree prediction method, which comprises the steps of determining a historical time point for selecting soil erosion historical data according to a time span ofa prediction time point for predicting soil erosion; training a BP neural network by utilizing the rainfall erosion data of the year where the historical time point is located and the rainfall erosion force of the year where the current time point is located to obtain a rainfall erosion force prediction model; calculating rainfall erosion data of the year where the current time point is located by using the rainfall erosion force prediction model, and simulating rainfall erosion force of the year where the prediction time point is located; and predicting the soil erosion amount of the year where the prediction time point is located by utilizing the obtained rainfall erosion force of the year where the prediction time point is located and the soil data of the year where the prediction timepoint is located.
本发明公开了一</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 | Soil erosion degree prediction method |
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