Metallization prediction method based on mineralization system and data driving
The embodiment of the invention discloses a mineralization prediction method based on a mineralization system and data driving. The method comprises the following steps: analyzing the source, migration mechanism, enrichment and mineralization of mineralization elements according to the geology, lith...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | PENG RONG CAO DIANHUA |
| description | The embodiment of the invention discloses a mineralization prediction method based on a mineralization system and data driving. The method comprises the following steps: analyzing the source, migration mechanism, enrichment and mineralization of mineralization elements according to the geology, lithology, fracture system and mineralization mother rock information of a prediction area, and establishing a mineralization system; obtaining attribute feature data of the prediction area; analyzing and classifying the attribute characteristic data of the prediction area according to the metallogenic system to obtain a first data set; according to the first data set, calculating the area frequency of a prediction region; selecting a preset first method or a second method according to the scale of the first data set to solve parameters of the logistic regression model; obtaining a weight value of a feature variable in the first data set according to a preset evidence weight model; and inputting the weight value, the a |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN118571352A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN118571352A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN118571352A3</originalsourceid><addsrcrecordid>eNrjZPD3TS1JzMnJrEosyczPUygoSk3JTAYzc1NLMvJTFJISi1NTFED8zLzUokS4yuLK4pLUXIXEvBSFlMSSRIWUosyyzLx0HgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmJyal1oS7-xnaGhham5obGrkaEyMGgCzozeO</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Metallization prediction method based on mineralization system and data driving</title><source>esp@cenet</source><creator>PENG RONG ; CAO DIANHUA</creator><creatorcontrib>PENG RONG ; CAO DIANHUA</creatorcontrib><description>The embodiment of the invention discloses a mineralization prediction method based on a mineralization system and data driving. The method comprises the following steps: analyzing the source, migration mechanism, enrichment and mineralization of mineralization elements according to the geology, lithology, fracture system and mineralization mother rock information of a prediction area, and establishing a mineralization system; obtaining attribute feature data of the prediction area; analyzing and classifying the attribute characteristic data of the prediction area according to the metallogenic system to obtain a first data set; according to the first data set, calculating the area frequency of a prediction region; selecting a preset first method or a second method according to the scale of the first data set to solve parameters of the logistic regression model; obtaining a weight value of a feature variable in the first data set according to a preset evidence weight model; and inputting the weight value, the a</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2024</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=20240830&DB=EPODOC&CC=CN&NR=118571352A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240830&DB=EPODOC&CC=CN&NR=118571352A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>PENG RONG</creatorcontrib><creatorcontrib>CAO DIANHUA</creatorcontrib><title>Metallization prediction method based on mineralization system and data driving</title><description>The embodiment of the invention discloses a mineralization prediction method based on a mineralization system and data driving. The method comprises the following steps: analyzing the source, migration mechanism, enrichment and mineralization of mineralization elements according to the geology, lithology, fracture system and mineralization mother rock information of a prediction area, and establishing a mineralization system; obtaining attribute feature data of the prediction area; analyzing and classifying the attribute characteristic data of the prediction area according to the metallogenic system to obtain a first data set; according to the first data set, calculating the area frequency of a prediction region; selecting a preset first method or a second method according to the scale of the first data set to solve parameters of the logistic regression model; obtaining a weight value of a feature variable in the first data set according to a preset evidence weight model; and inputting the weight value, the a</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPD3TS1JzMnJrEosyczPUygoSk3JTAYzc1NLMvJTFJISi1NTFED8zLzUokS4yuLK4pLUXIXEvBSFlMSSRIWUosyyzLx0HgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmJyal1oS7-xnaGhham5obGrkaEyMGgCzozeO</recordid><startdate>20240830</startdate><enddate>20240830</enddate><creator>PENG RONG</creator><creator>CAO DIANHUA</creator><scope>EVB</scope></search><sort><creationdate>20240830</creationdate><title>Metallization prediction method based on mineralization system and data driving</title><author>PENG RONG ; CAO DIANHUA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118571352A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</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>PENG RONG</creatorcontrib><creatorcontrib>CAO DIANHUA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>PENG RONG</au><au>CAO DIANHUA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Metallization prediction method based on mineralization system and data driving</title><date>2024-08-30</date><risdate>2024</risdate><abstract>The embodiment of the invention discloses a mineralization prediction method based on a mineralization system and data driving. The method comprises the following steps: analyzing the source, migration mechanism, enrichment and mineralization of mineralization elements according to the geology, lithology, fracture system and mineralization mother rock information of a prediction area, and establishing a mineralization system; obtaining attribute feature data of the prediction area; analyzing and classifying the attribute characteristic data of the prediction area according to the metallogenic system to obtain a first data set; according to the first data set, calculating the area frequency of a prediction region; selecting a preset first method or a second method according to the scale of the first data set to solve parameters of the logistic regression model; obtaining a weight value of a feature variable in the first data set according to a preset evidence weight model; and inputting the weight value, the a</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN118571352A |
| source | esp@cenet |
| 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 ELECTRIC DIGITAL DATA PROCESSING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Metallization prediction method based on mineralization system and data driving |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T08%3A43%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=PENG%20RONG&rft.date=2024-08-30&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN118571352A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |