{"id":"https://openalex.org/W3213170960","doi":"https://doi.org/10.3390/ijgi10110766","title":"Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm\u2013Support Vector Machine (GA\u2013SVM) Model","display_name":"Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm\u2013Support Vector Machine (GA\u2013SVM) Model","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3213170960","doi":"https://doi.org/10.3390/ijgi10110766","mag":"3213170960"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi10110766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110766","pdf_url":"https://www.mdpi.com/2220-9964/10/11/766/pdf?version=1636678099","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/10/11/766/pdf?version=1636678099","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086507481","display_name":"Xishihui Du","orcid":"https://orcid.org/0000-0002-6107-5407"},"institutions":[{"id":"https://openalex.org/I83714178","display_name":"Shenyang Jianzhu University","ror":"https://ror.org/01zr73v18","country_code":"CN","type":"education","lineage":["https://openalex.org/I83714178"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xishihui Du","raw_affiliation_strings":["School of Transportation Engineering, Shenyang Jianzhu University, Shenyang 110168, China"],"raw_orcid":"https://orcid.org/0000-0002-6107-5407","affiliations":[{"raw_affiliation_string":"School of Transportation Engineering, Shenyang Jianzhu University, Shenyang 110168, China","institution_ids":["https://openalex.org/I83714178"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013558939","display_name":"Kefa Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kefa Zhou","raw_affiliation_strings":["Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210103115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048352706","display_name":"Yao Cui","orcid":"https://orcid.org/0009-0009-8018-3823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Cui","raw_affiliation_strings":["British Columbia Geological Survey, Victoria, BC V8W 9N3, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"British Columbia Geological Survey, Victoria, BC V8W 9N3, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057269007","display_name":"Jinlin Wang","orcid":"https://orcid.org/0000-0003-4625-7605"},"institutions":[{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlin Wang","raw_affiliation_strings":["Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210103115"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060774718","display_name":"Shuguang Zhou","orcid":"https://orcid.org/0000-0002-5133-5228"},"institutions":[{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuguang Zhou","raw_affiliation_strings":["Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang Key Laboratory of Mineral Resources and Digital Geology, Urumqi 830011, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Xinjiang Research Center for Mineral Resources, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China","institution_ids":["https://openalex.org/I4210103115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013558939"],"corresponding_institution_ids":["https://openalex.org/I4210103115","https://openalex.org/I96908189"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.5393,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.86336775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"10","issue":"11","first_page":"766","last_page":"766"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9711999893188477,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prospectivity-mapping","display_name":"Prospectivity mapping","score":0.9938241243362427},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8636171817779541},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5928599834442139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5038253664970398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43705421686172485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4293527603149414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4144752621650696},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3530939817428589},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3485121726989746},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.34091490507125854},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.06258887052536011}],"concepts":[{"id":"https://openalex.org/C55358776","wikidata":"https://www.wikidata.org/wiki/Q7250848","display_name":"Prospectivity mapping","level":3,"score":0.9938241243362427},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8636171817779541},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5928599834442139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5038253664970398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43705421686172485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4293527603149414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4144752621650696},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3530939817428589},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3485121726989746},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.34091490507125854},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.06258887052536011},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/ijgi10110766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110766","pdf_url":"https://www.mdpi.com/2220-9964/10/11/766/pdf?version=1636678099","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f9114c4c324045769e952e6f0bf9f753","is_oa":true,"landing_page_url":"https://doaj.org/article/f9114c4c324045769e952e6f0bf9f753","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 10, Iss 11, p 766 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/10/11/766/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/ijgi10110766","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information; Volume 10; Issue 11; Pages: 766","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi10110766","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi10110766","pdf_url":"https://www.mdpi.com/2220-9964/10/11/766/pdf?version=1636678099","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3213170960.pdf","grobid_xml":"https://content.openalex.org/works/W3213170960.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W28026382","https://openalex.org/W291971490","https://openalex.org/W1517808374","https://openalex.org/W1542116403","https://openalex.org/W1563088657","https://openalex.org/W1596437162","https://openalex.org/W1967380063","https://openalex.org/W1968706640","https://openalex.org/W1979081224","https://openalex.org/W1980789580","https://openalex.org/W1984755515","https://openalex.org/W1997507409","https://openalex.org/W1997720164","https://openalex.org/W2013516207","https://openalex.org/W2014823261","https://openalex.org/W2015452969","https://openalex.org/W2018366608","https://openalex.org/W2020355555","https://openalex.org/W2024920534","https://openalex.org/W2028171048","https://openalex.org/W2035550432","https://openalex.org/W2041723400","https://openalex.org/W2044054256","https://openalex.org/W2048414766","https://openalex.org/W2062634819","https://openalex.org/W2063350328","https://openalex.org/W2072504176","https://openalex.org/W2077548009","https://openalex.org/W2089338675","https://openalex.org/W2130372754","https://openalex.org/W2153635508","https://openalex.org/W2159469384","https://openalex.org/W2367564431","https://openalex.org/W2403532211","https://openalex.org/W2549708664","https://openalex.org/W2564974494","https://openalex.org/W2586435900","https://openalex.org/W2606355498","https://openalex.org/W2761218489","https://openalex.org/W2783910400","https://openalex.org/W2979128757","https://openalex.org/W2998678080","https://openalex.org/W3005482660","https://openalex.org/W3006089389","https://openalex.org/W3014811513","https://openalex.org/W3033765727","https://openalex.org/W3144613578","https://openalex.org/W3190438496","https://openalex.org/W4230674625","https://openalex.org/W6630956611","https://openalex.org/W6697261853","https://openalex.org/W7019436621"],"related_works":["https://openalex.org/W4234322959","https://openalex.org/W2041413007","https://openalex.org/W1134334803","https://openalex.org/W1573373265","https://openalex.org/W2072504176","https://openalex.org/W4285205761","https://openalex.org/W3206813773","https://openalex.org/W4247873768","https://openalex.org/W2113981829","https://openalex.org/W2112959154"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"(ML)":[2],"as":[3,49,149],"a":[4,18,150],"powerful":[5],"data-driven":[6],"method":[7,54],"is":[8,47],"widely":[9],"used":[10,48],"for":[11,35,91,99,152],"mineral":[12,100,154],"prospectivity":[13,97,119],"mapping.":[14],"This":[15],"study":[16,138],"employs":[17],"hybrid":[19],"of":[20,108,117,126,136,145],"the":[21,43,57,63,115,127,137,143,146],"genetic":[22],"algorithm":[23],"(GA)":[24],"and":[25,72,88,94,105],"support":[26],"vector":[27],"machine":[28],"(SVM)":[29],"model":[30,123,148],"to":[31,55,84,95,112],"map":[32],"prospective":[33,87,132],"areas":[34,90],"Au":[36,92,129],"deposits":[37,130],"in":[38,62],"Karamay,":[39],"northwest":[40],"China.":[41],"In":[42],"proposed":[44],"method,":[45],"GA":[46],"an":[50],"adaptive":[51],"optimization":[52],"search":[53],"optimize":[56],"SVM":[58],"parameters":[59],"that":[60],"result":[61],"best":[64,122],"fitness.":[65],"After":[66],"obtaining":[67],"evidence":[68],"layers":[69],"from":[70],"geological":[71],"geochemical":[73],"data,":[74],"GA\u2013SVM":[75,147],"models":[76],"trained":[77],"using":[78],"different":[79],"training":[80],"datasets":[81],"were":[82,110],"applied":[83],"discriminate":[85],"between":[86],"non-prospective":[89],"deposits,":[93],"produce":[96],"maps":[98],"exploration.":[101],"The":[102,121,140],"F1":[103],"score":[104],"spatial":[106],"efficiency":[107],"classification":[109],"calculated":[111],"objectively":[113],"evaluate":[114],"performance":[116],"each":[118],"model.":[120],"predicted":[124],"95.83%":[125],"known":[128],"within":[131],"areas,":[133],"occupying":[134],"35.68%":[135],"area.":[139],"results":[141],"demonstrate":[142],"effectiveness":[144],"tool":[151],"mapping":[153],"prospectivity.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2025-10-10T00:00:00"}
