{"id":"https://openalex.org/W2990800919","doi":"https://doi.org/10.1145/3366194.3366261","title":"Application of FOA-RF model in prediction of coal and gas outburst intensity","display_name":"Application of FOA-RF model in prediction of coal and gas outburst intensity","publication_year":2019,"publication_date":"2019-09-20","ids":{"openalex":"https://openalex.org/W2990800919","doi":"https://doi.org/10.1145/3366194.3366261","mag":"2990800919"},"language":"en","primary_location":{"id":"doi:10.1145/3366194.3366261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366194.3366261","pdf_url":null,"source":{"id":"https://openalex.org/S4306523677","display_name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015808957","display_name":"Long Nengzeng","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]},{"id":"https://openalex.org/I4210095439","display_name":"Guizhou Minzu University","ror":"https://ror.org/00qm4t918","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210095439"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Nengzeng","raw_affiliation_strings":["Mining College of Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mining College of Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147","https://openalex.org/I4210095439"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083081879","display_name":"Yuan Mei","orcid":"https://orcid.org/0000-0003-1143-3859"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Mei","raw_affiliation_strings":["Mining College of Guizhou University, Guiyang, China and Guizhou Key Laboratory of Comprehensive Utilization of Non-metallic Mineral Resources, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mining College of Guizhou University, Guiyang, China and Guizhou Key Laboratory of Comprehensive Utilization of Non-metallic Mineral Resources, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013204747","display_name":"Wang Guanliang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Guanliang","raw_affiliation_strings":["Mine rescue brigade, Guizhou ShuiCheng mining co, LTD, Liupanshui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mine rescue brigade, Guizhou ShuiCheng mining co, LTD, Liupanshui, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.24702653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14392","display_name":"Geoscience and Mining Technology","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14392","display_name":"Geoscience and Mining Technology","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T11284","display_name":"Coal Properties and Utilization","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.921500027179718,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/coal","display_name":"Coal","score":0.6433638334274292},{"id":"https://openalex.org/keywords/intensity","display_name":"Intensity (physics)","score":0.5850154757499695},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.37645411491394043},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19496431946754456},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.166660875082016},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.16363704204559326},{"id":"https://openalex.org/keywords/waste-management","display_name":"Waste management","score":0.11107534170150757}],"concepts":[{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.6433638334274292},{"id":"https://openalex.org/C93038891","wikidata":"https://www.wikidata.org/wiki/Q1061524","display_name":"Intensity (physics)","level":2,"score":0.5850154757499695},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.37645411491394043},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19496431946754456},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.166660875082016},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16363704204559326},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.11107534170150757}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366194.3366261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3366194.3366261","pdf_url":null,"source":{"id":"https://openalex.org/S4306523677","display_name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3191763517","https://openalex.org/W2536695084","https://openalex.org/W2363693341","https://openalex.org/W2334274107","https://openalex.org/W2360786630","https://openalex.org/W4214808470","https://openalex.org/W4244099597","https://openalex.org/W2386113422","https://openalex.org/W2392589638","https://openalex.org/W2392974679"],"abstract_inverted_index":{"In":[0,116],"order":[1],"to":[2,72],"predict":[3],"coal":[4,16,35,53,105,178],"and":[5,10,17,29,36,54,78,106,114,127,147,170,179],"gas":[6,18,37,55,107,180],"outburst":[7,19,38,56,108,181],"intensity":[8,20,109,182],"quickly":[9,79],"accurately,":[11],"this":[12],"paper":[13],"proposes":[14],"a":[15],"prediction":[21,39,76,102,119,161,166],"model":[22,88,98,138],"which":[23,173],"combining":[24],"fruit":[25],"fly":[26],"algorithm":[27,32],"(FOA)":[28],"random":[30],"forest":[31],"(RF).":[33],"The":[34,96],"index":[40],"system":[41],"was":[42],"constructed":[43],"based":[44],"on":[45],"the":[46,50,62,75,81,86,100,117,122,134,141,148,156,159],"statistical":[47],"analysis":[48,70],"of":[49,52,85,104,121,136,158,165],"causes":[51],"in":[57,163],"Wangjiazhai":[58],"Coal":[59],"Mine":[60],"over":[61],"years.":[63],"Applying":[64],"RF's":[65],"strong":[66],"high-dimensional":[67],"nonlinear":[68],"data":[69],"advantages":[71],"deeply":[73],"mine":[74],"indicators,":[77],"seek":[80],"optimal":[82,101],"initial":[83],"parameters":[84],"RF":[87,128],"by":[89],"using":[90],"FOA's":[91],"superior":[92],"global":[93],"optimization":[94],"ability.":[95],"FOA-RF":[97,137],"outputs":[99],"results":[103,120],"through":[110],"continuously":[111],"population":[112],"updating":[113],"training.":[115],"comparison":[118],"BP":[123],"neural":[124],"network,":[125],"SVM":[126],"models,":[129],"it":[130,154],"is":[131,139,145,151,155,174],"found":[132],"that":[133],"accuracy":[135],"93.72%,":[140],"relative":[142],"error":[143],"variance":[144],"1.97,":[146],"operation":[149,171],"time":[150],"only":[152],"0.183s,":[153],"best":[157],"four":[160],"models":[162],"terms":[164],"accuracy,":[167],"training":[168],"stability":[169],"speed,":[172],"more":[175],"suitable":[176],"for":[177],"prediction.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}