{"id":"https://openalex.org/W2809963362","doi":"https://doi.org/10.1109/fskd.2017.8393405","title":"Coalbed methane production forecasting based on dynamic PSO neural network model","display_name":"Coalbed methane production forecasting based on dynamic PSO neural network model","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2809963362","doi":"https://doi.org/10.1109/fskd.2017.8393405","mag":"2809963362"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","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/A5014885501","display_name":"Lei Yang","orcid":"https://orcid.org/0000-0002-1439-9134"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Yang","raw_affiliation_strings":["College of Science, China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082565489","display_name":"Hong Lin","orcid":"https://orcid.org/0000-0003-1534-8299"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Lin","raw_affiliation_strings":["College of Pipeline and Civil Engineering, China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Pipeline and Civil Engineering, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109399419","display_name":"Meng-Yao Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng-Yao Gong","raw_affiliation_strings":["College of Science, China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074110084","display_name":"Sheng-Tian Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng-Tian Zhou","raw_affiliation_strings":["College of Science, China University of Petroleum, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Science, China University of Petroleum, Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014885501"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.6165,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73835324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14392","display_name":"Geoscience and Mining Technology","score":0.9909999966621399,"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":0.9909999966621399,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9828000068664551,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.978600025177002,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.806939959526062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7285329699516296},{"id":"https://openalex.org/keywords/coalbed-methane","display_name":"Coalbed methane","score":0.6637191772460938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5469749569892883},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4895949959754944},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46741390228271484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.385678768157959},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35711002349853516},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24743899703025818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21623480319976807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12118923664093018},{"id":"https://openalex.org/keywords/coal-mining","display_name":"Coal mining","score":0.08598262071609497},{"id":"https://openalex.org/keywords/coal","display_name":"Coal","score":0.08260726928710938}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.806939959526062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7285329699516296},{"id":"https://openalex.org/C2776469828","wikidata":"https://www.wikidata.org/wiki/Q955546","display_name":"Coalbed methane","level":4,"score":0.6637191772460938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5469749569892883},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4895949959754944},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46741390228271484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.385678768157959},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35711002349853516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24743899703025818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21623480319976807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12118923664093018},{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.08598262071609497},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.08260726928710938},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393405","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393405","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":15,"referenced_works":["https://openalex.org/W1983321018","https://openalex.org/W1992332319","https://openalex.org/W2041601548","https://openalex.org/W2061368533","https://openalex.org/W2067562186","https://openalex.org/W2073106181","https://openalex.org/W2357214770","https://openalex.org/W2359149149","https://openalex.org/W2382399703","https://openalex.org/W2392536297","https://openalex.org/W2401286758","https://openalex.org/W2978550585","https://openalex.org/W4254275858","https://openalex.org/W6712922992","https://openalex.org/W6769157663"],"related_works":["https://openalex.org/W2380255153","https://openalex.org/W3000678991","https://openalex.org/W2352924950","https://openalex.org/W2352188724","https://openalex.org/W2391967840","https://openalex.org/W2360451103","https://openalex.org/W1978397040","https://openalex.org/W2736680465","https://openalex.org/W4288714711","https://openalex.org/W2381717537"],"abstract_inverted_index":{"In":[0],"order":[1,61],"to":[2,54,62],"accurately":[3],"predict":[4],"coalbed":[5,44],"methane":[6,45],"production,":[7],"based":[8],"on":[9],"the":[10,26,34,40,56,64,73,77,81,94],"dynamic":[11,27],"particle":[12,28],"swarm":[13,29],"optimization":[14],"algorithm,":[15],"a":[16],"novel":[17],"neural":[18,87],"network":[19,41,88],"model":[20,37,79,100],"(DPSO-NN)":[21],"is":[22,31,52],"presented,":[23],"in":[24,60,101],"which":[25],"method":[30],"combined":[32],"with":[33,80],"classical":[35],"BP":[36],"for":[38],"adjusting":[39],"weights.":[42],"The":[43,90],"production":[46],"data":[47],"of":[48,68,98],"Qinnan":[49],"CBM":[50],"field":[51],"used":[53],"train":[55],"DPSO-NN":[57,69,78,99],"model.":[58],"Further,":[59],"show":[63],"accuracy":[65],"and":[66,96],"feasibility":[67,95],"model,":[70],"we":[71],"compared":[72],"results":[74,82,92],"gained":[75,83],"from":[76,84],"other":[85],"3":[86],"models.":[89],"comparing":[91],"indicate":[93],"effectiveness":[97],"engineering":[102],"predication.":[103]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}