{"id":"https://openalex.org/W2131329453","doi":"https://doi.org/10.1109/ijcnn.2010.5596458","title":"A neural network method for prediction of 2006 World Cup Football Game","display_name":"A neural network method for prediction of 2006 World Cup Football Game","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2131329453","doi":"https://doi.org/10.1109/ijcnn.2010.5596458","mag":"2131329453"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5101537676","display_name":"Kou\u2010Yuan Huang","orcid":"https://orcid.org/0000-0001-9900-8480"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kou-Yuan Huang","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science; National Chiao Tung University; Hsinchu; Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046924364","display_name":"Wen-Lung Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Lung Chang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101537676"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":5.0112,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.95497387,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9883999824523926,"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":0.9883999824523926,"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/T10320","display_name":"Neural Networks and Applications","score":0.9660000205039978,"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":0.9605000019073486,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7087827920913696},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.7018104791641235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7010061740875244},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.642168402671814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.594596803188324},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5322140455245972},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48591509461402893},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.445563942193985}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7087827920913696},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.7018104791641235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7010061740875244},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.642168402671814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.594596803188324},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5322140455245972},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48591509461402893},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.445563942193985},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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":8,"referenced_works":["https://openalex.org/W101663867","https://openalex.org/W605211202","https://openalex.org/W1488370856","https://openalex.org/W1498436455","https://openalex.org/W1986134386","https://openalex.org/W2130648784","https://openalex.org/W3207342693","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2157746493","https://openalex.org/W1495379181","https://openalex.org/W2371065793","https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2110279552"],"abstract_inverted_index":{"A":[0],"neural":[1,80],"network":[2,81],"method":[3],"is":[4,34,85],"adopted":[5,31,111],"to":[6,17,50,65],"predict":[7],"the":[8,51,66,70,78,110,115,122],"football":[9],"game's":[10],"winning":[11],"rate":[12,97],"of":[13,24,57,75],"two":[14,55],"teams":[15,56],"according":[16],"their":[18],"previous":[19,71],"stage's":[20],"official":[21],"statistical":[22],"data":[23,47],"2006":[25],"World":[26],"Cup":[27],"Football":[28],"Game.":[29],"The":[30,45,95],"prediction":[32,113,116],"model":[33],"based":[35],"on":[36,109],"multi-layer":[37],"perceptron":[38],"(MLP)":[39],"with":[40],"back":[41],"propagation":[42],"learning":[43,96],"rule.":[44],"input":[46],"are":[48,63,101,125],"transformed":[49],"relative":[52],"ratios":[53],"between":[54],"each":[58],"game.":[59],"New":[60],"training":[61,67],"samples":[62,68],"added":[64],"at":[69],"stages.":[72],"By":[73],"way":[74],"experimental":[76],"results,":[77],"determined":[79,103],"architecture":[82],"for":[83],"MLP":[84,112],"8":[86],"inputs,":[87],"11":[88],"hidden":[89],"nodes,":[90],"and":[91,98],"1":[92],"output":[93],"(8-11-1).":[94],"momentum":[99],"coefficient":[100],"sequentially":[102],"by":[104],"experiments":[105],"as":[106],"well.":[107],"Based":[108],"method,":[114],"accuracy":[117],"can":[118],"achieve":[119],"76.9%":[120],"if":[121],"draw":[123],"games":[124],"excluded.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
