{"id":"https://openalex.org/W2970070378","doi":"https://doi.org/10.1145/3337682.3337709","title":"Development of a Performance Prediction Model for College Athletes Based on Chaos Theory and Machine Learning Algorithms","display_name":"Development of a Performance Prediction Model for College Athletes Based on Chaos Theory and Machine Learning Algorithms","publication_year":2019,"publication_date":"2019-05-27","ids":{"openalex":"https://openalex.org/W2970070378","doi":"https://doi.org/10.1145/3337682.3337709","mag":"2970070378"},"language":"en","primary_location":{"id":"doi:10.1145/3337682.3337709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3337682.3337709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 5th International Conference on Education and Training Technologies","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/A5005263452","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0001-5967-9917"},"institutions":[{"id":"https://openalex.org/I4210090357","display_name":"Nanjing Forest Police College","ror":"https://ror.org/00adax290","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090357"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Nanjing Forest Police College, Nanjing, Jiangsu China"],"affiliations":[{"raw_affiliation_string":"Nanjing Forest Police College, Nanjing, Jiangsu China","institution_ids":["https://openalex.org/I4210090357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005263452"],"corresponding_institution_ids":["https://openalex.org/I4210090357"],"apc_list":null,"apc_paid":null,"fwci":0.2385,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54925248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"146","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9560999870300293,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.930899977684021,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/machine-learning","display_name":"Machine learning","score":0.6966689825057983},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460162997245789},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6134975552558899},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5916751027107239},{"id":"https://openalex.org/keywords/athletes","display_name":"Athletes","score":0.5793794989585876},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4976251423358917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39845696091651917},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.2303975224494934}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6966689825057983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460162997245789},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134975552558899},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5916751027107239},{"id":"https://openalex.org/C2781054738","wikidata":"https://www.wikidata.org/wiki/Q4813730","display_name":"Athletes","level":2,"score":0.5793794989585876},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4976251423358917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39845696091651917},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2303975224494934},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3337682.3337709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3337682.3337709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 5th International Conference on Education and Training Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2073004501","https://openalex.org/W2364320073","https://openalex.org/W2386950911","https://openalex.org/W2526280317"],"related_works":["https://openalex.org/W4318612353","https://openalex.org/W4389829534","https://openalex.org/W4390939596","https://openalex.org/W2397087612","https://openalex.org/W4385059327","https://openalex.org/W2110529327","https://openalex.org/W2803417426","https://openalex.org/W2371116970","https://openalex.org/W2802138742","https://openalex.org/W4214893240"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,26,66,91,136],"accurately":[3],"predict":[4],"college":[5,12,31,40,53,72,94,108,126],"athlete's":[6,13,32],"performance,":[7,74],"a":[8],"prediction":[9,45,56,97,111,129],"model":[10,57,118],"of":[11,30,39,51,71,115,125,139],"performance":[14,42,55,96,110,128],"based":[15],"on":[16],"Chaos":[17],"Theory":[18],"and":[19,44,48,75,122],"machine":[20,83],"learning":[21,84,87],"algorithm":[22],"is":[23,46,64,89,130],"designed":[24,117],"according":[25],"the":[27,35,49,61,68,76,82,93,106,113,116,123,137],"specific":[28],"characteristics":[29],"performance.":[33],"Firstly,":[34],"current":[36,52,107],"research":[37],"status":[38],"athlete":[41,54,73,95,109,127],"modeling":[43],"analyzed,":[47],"shortcomings":[50],"are":[58,79,119],"found.":[59,80],"Then,":[60],"chaos":[62],"theory":[63],"used":[65],"process":[67],"historical":[69],"data":[70],"hidden":[77],"rules":[78],"Finally,":[81],"algorithm,":[85],"extreme":[86],"machine,":[88],"introduced":[90],"design":[92],"model.":[98],"The":[99],"simulation":[100],"results":[101,114],"show":[102],"that,":[103],"compared":[104],"with":[105],"model,":[112],"more":[120],"reliable,":[121],"accuracy":[124],"higher,":[131],"which":[132],"can":[133],"be":[134],"applied":[135],"formulation":[138],"sports":[140],"scientific":[141],"training":[142],"plan.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
