{"id":"https://openalex.org/W3152506298","doi":"https://doi.org/10.1155/2021/5544071","title":"Technical and Tactical Command Decision Algorithm of Football Matches Based on Big Data and Neural Network","display_name":"Technical and Tactical Command Decision Algorithm of Football Matches Based on Big Data and Neural Network","publication_year":2021,"publication_date":"2021-04-07","ids":{"openalex":"https://openalex.org/W3152506298","doi":"https://doi.org/10.1155/2021/5544071","mag":"3152506298"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5544071","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5544071","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5544071.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/5544071.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002684303","display_name":"Lei Fang","orcid":"https://orcid.org/0000-0002-2568-730X"},"institutions":[{"id":"https://openalex.org/I124644866","display_name":"Northwest Minzu University","ror":"https://ror.org/04cyy9943","country_code":"CN","type":"education","lineage":["https://openalex.org/I124644866"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Fang","raw_affiliation_strings":["Northwest University for Nationalities, Lanzhou 730124, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University for Nationalities, Lanzhou 730124, Gansu, China","institution_ids":["https://openalex.org/I124644866"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913364","display_name":"Wei Qiang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119101","display_name":"Tangshan Normal University","ror":"https://ror.org/02jdm8069","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119101"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wei","raw_affiliation_strings":["Department of Physical Education, Tangshan Normal University, Tangshan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physical Education, Tangshan Normal University, Tangshan, China","institution_ids":["https://openalex.org/I4210119101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101769716","display_name":"Cheng Jian Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cheng Jian Xu","raw_affiliation_strings":["Department of Competitive Sports, Guangdong Sports Vocational and Technical College, Guangzhou 510663, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6879-0799","affiliations":[{"raw_affiliation_string":"Department of Competitive Sports, Guangdong Sports Vocational and Technical College, Guangzhou 510663, Guangdong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101769716"],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"USD","value_usd":2000},"apc_paid":{"value":2000,"currency":"USD","value_usd":2000},"fwci":1.6324,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8832998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9728000164031982,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/offensive","display_name":"Offensive","score":0.8561455011367798},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.8385263681411743},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.688173770904541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565593481063843},{"id":"https://openalex.org/keywords/coaching","display_name":"Coaching","score":0.5417746305465698},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.48525118827819824},{"id":"https://openalex.org/keywords/american-football","display_name":"American football","score":0.4565041661262512},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43689629435539246},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3959680199623108},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3243534564971924},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22026792168617249},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16848373413085938},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.0886969268321991}],"concepts":[{"id":"https://openalex.org/C176856949","wikidata":"https://www.wikidata.org/wiki/Q2001676","display_name":"Offensive","level":2,"score":0.8561455011367798},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.8385263681411743},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.688173770904541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565593481063843},{"id":"https://openalex.org/C2779363792","wikidata":"https://www.wikidata.org/wiki/Q1104185","display_name":"Coaching","level":2,"score":0.5417746305465698},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.48525118827819824},{"id":"https://openalex.org/C3020114046","wikidata":"https://www.wikidata.org/wiki/Q41323","display_name":"American football","level":3,"score":0.4565041661262512},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43689629435539246},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3959680199623108},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3243534564971924},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22026792168617249},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16848373413085938},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0886969268321991},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/5544071","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5544071","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5544071.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9a21ae4f16764c4c8c0ae3133ca5af78","is_oa":true,"landing_page_url":"https://doaj.org/article/9a21ae4f16764c4c8c0ae3133ca5af78","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":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/5544071","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5544071","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/5544071.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3152506298.pdf","grobid_xml":"https://content.openalex.org/works/W3152506298.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1985170878","https://openalex.org/W2057365167","https://openalex.org/W2127335277","https://openalex.org/W2129094455","https://openalex.org/W2296618220","https://openalex.org/W2736850434","https://openalex.org/W2738437083","https://openalex.org/W2784367312","https://openalex.org/W2791251452","https://openalex.org/W2938175743","https://openalex.org/W2945944409","https://openalex.org/W2952559136","https://openalex.org/W2953483327","https://openalex.org/W2981741381","https://openalex.org/W2991404288","https://openalex.org/W2994144205","https://openalex.org/W3000569652","https://openalex.org/W3006347286","https://openalex.org/W3007676326","https://openalex.org/W3009683213","https://openalex.org/W3011955763","https://openalex.org/W3016174083","https://openalex.org/W3036451159","https://openalex.org/W3037831098","https://openalex.org/W3084016763","https://openalex.org/W3085519426","https://openalex.org/W3088520121","https://openalex.org/W3090239664","https://openalex.org/W3093480222","https://openalex.org/W3096531676","https://openalex.org/W3111255625","https://openalex.org/W3114923031","https://openalex.org/W3119855172","https://openalex.org/W3124874411","https://openalex.org/W3138953622","https://openalex.org/W4287905581","https://openalex.org/W6697627042"],"related_works":["https://openalex.org/W4388035172","https://openalex.org/W3209041782","https://openalex.org/W2007812776","https://openalex.org/W2919397545","https://openalex.org/W2038590420","https://openalex.org/W2397847768","https://openalex.org/W4205221714","https://openalex.org/W1147948371","https://openalex.org/W1527384003","https://openalex.org/W634093383"],"abstract_inverted_index":{"A":[0],"successful":[1],"football":[2,84,101,125,142,160,173,207,236,253],"team":[3,24,190],"not":[4],"only":[5],"consists":[6],"of":[7,39,45,56,62,73,111,119,124,133,159,172,185,188,206,225,252],"more":[8,48,74],"than":[9],"a":[10,19,99,192],"dozen":[11],"people":[12,49],"on":[13,88],"the":[14,28,37,43,54,63,71,109,117,120,131,156,180,189,202,223,250],"field":[15],"but":[16],"also":[17,211,244],"includes":[18],"complete":[20],"training,":[21],"analysis,":[22,77],"coaching":[23],"behind":[25],"it,":[26],"and":[27,32,42,70,79,91,103,140,144,182,217,238,241,243],"same":[29],"basic":[30],"education":[31],"youth":[33],"training":[34],"system.":[35],"With":[36],"development":[38],"scientific":[40,139],"concepts":[41],"advancement":[44],"computer":[46,256],"technology,":[47,94],"have":[50],"begun":[51],"to":[52,59,82,137,168,191,199,214,221],"study":[53],"use":[55,72,110,215],"modern":[57],"technology":[58,114],"replace":[60],"part":[61],"traditional":[64],"human":[65],"work":[66,132],"with":[67,255],"low":[68],"creativity":[69],"convenient":[75],"quantitative":[76],"prediction":[78],"other":[80],"technologies":[81],"assist":[83],"professionals\u2019":[85],"decision-making.":[86],"Based":[87],"big":[89,112,122,157],"data":[90,113,123,129,158,205],"neural":[92,166],"network":[93],"this":[95,134,209,226],"paper":[96,210],"has":[97,212,231],"designed":[98],"novel":[100],"technical":[102,143,237],"tactical":[104,145,239],"command":[105,240],"decision":[106],"algorithm.":[107],"First,":[108],"for":[115,130,249],"analyzing":[116],"characteristics":[118],"historical":[121],"competitions":[126],"provides":[127,245],"valuable":[128],"article.":[135],"Secondly,":[136],"formulate":[138],"reasonable":[141],"command,":[146],"it":[147],"requires":[148],"learning":[149],"effective":[150],"offensive":[151,181],"or":[152],"defensive":[153,183],"strategies":[154],"from":[155],"competitions.":[161],"This":[162],"article":[163],"uses":[164],"deep":[165],"networks":[167,220],"learn":[169,201],"massive":[170],"amounts":[171],"competition":[174],"data,":[175],"which":[176],"can":[177],"effectively":[178],"predict":[179],"tactics":[184],"each":[186],"position":[187],"certain":[193],"extent.":[194],"In":[195],"addition,":[196],"in":[197,235],"order":[198],"better":[200],"timing":[203],"video":[204],"matches,":[208],"proposed":[213,229],"long-":[216],"short-term":[218],"memory":[219],"improve":[222],"algorithm":[224],"paper.":[227],"The":[228],"method":[230],"achieved":[232],"good":[233],"results":[234],"decision-making":[242],"some":[246],"new":[247],"ideas":[248],"subject":[251],"combined":[254],"technology.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}