{"id":"https://openalex.org/W2896005966","doi":"https://doi.org/10.1155/2018/1067927","title":"Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network","display_name":"Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896005966","doi":"https://doi.org/10.1155/2018/1067927","mag":"2896005966"},"language":"en","primary_location":{"id":"doi:10.1155/2018/1067927","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1067927","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/1067927.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2018/1067927.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044671587","display_name":"Jingfeng Yang","orcid":"https://orcid.org/0000-0002-3682-1666"},"institutions":[{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Yang","raw_affiliation_strings":["Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China"],"raw_orcid":"https://orcid.org/0000-0002-3682-1666","affiliations":[{"raw_affiliation_string":"Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023816347","display_name":"Nanfeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102827","display_name":"Shanghai Customs College","ror":"https://ror.org/01agvej60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanfeng Zhang","raw_affiliation_strings":["Guangzhou Customs, Guangzhou 510623, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Customs, Guangzhou 510623, China","institution_ids":["https://openalex.org/I4210102827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476851","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-2671-5886"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Guangzhou Xingwei Mdt InfoTech Ltd, Guangzhou 510630, China","South China Agricultural University, Guangzhou 510642, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Xingwei Mdt InfoTech Ltd, Guangzhou 510630, China","institution_ids":[]},{"raw_affiliation_string":"South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102934134","display_name":"Yanwei Zheng","orcid":"https://orcid.org/0000-0002-3588-3320"},"institutions":[{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Zheng","raw_affiliation_strings":["Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335812","display_name":"Li Wang","orcid":"https://orcid.org/0000-0001-5986-7184"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["School of Computer Software in Tianjin University, Tianjin 300072, China"],"raw_orcid":"https://orcid.org/0000-0001-5986-7184","affiliations":[{"raw_affiliation_string":"School of Computer Software in Tianjin University, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100628804","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-8617-7434"},"institutions":[{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China"],"raw_orcid":"https://orcid.org/0000-0002-8617-7434","affiliations":[{"raw_affiliation_string":"Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001201547","display_name":"Ji Yang","orcid":"https://orcid.org/0000-0003-4092-2264"},"institutions":[{"id":"https://openalex.org/I4210147158","display_name":"Guangzhou Institute of Geography","ror":"https://ror.org/03tbxt129","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210147158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ji Yang","raw_affiliation_strings":["Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Open Laboratory of Geospatial Information Technology and Application, Guangzhou Institute of Geography, Guangzhou 510070, China","institution_ids":["https://openalex.org/I4210147158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079765484","display_name":"Yifei Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Xiang","raw_affiliation_strings":["North China Electric Power University, Beijing 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing 102206, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060130626","display_name":"Lufeng Luo","orcid":"https://orcid.org/0000-0003-4106-1558"},"institutions":[{"id":"https://openalex.org/I14894300","display_name":"Foshan University","ror":"https://ror.org/02xvvvp28","country_code":"CN","type":"education","lineage":["https://openalex.org/I14894300"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lufeng Luo","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Foshan University, Foshan 528000, China"],"raw_orcid":"https://orcid.org/0000-0003-4106-1558","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Foshan University, Foshan 528000, China","institution_ids":["https://openalex.org/I14894300"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5060130626"],"corresponding_institution_ids":["https://openalex.org/I14894300"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.7492,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73176823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9617999792098999,"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"}},"topics":[{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9617999792098999,"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"}},{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9251000285148621,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9200999736785889,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/computer-science","display_name":"Computer science","score":0.8130552768707275},{"id":"https://openalex.org/keywords/huffman-coding","display_name":"Huffman coding","score":0.5939476490020752},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5514156818389893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5325853824615479},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4994049072265625},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46346038579940796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4368087947368622},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4267846345901489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2836953401565552}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130552768707275},{"id":"https://openalex.org/C46900642","wikidata":"https://www.wikidata.org/wiki/Q2647","display_name":"Huffman coding","level":3,"score":0.5939476490020752},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5514156818389893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5325853824615479},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4994049072265625},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46346038579940796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4368087947368622},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4267846345901489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2836953401565552},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2018/1067927","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1067927","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/1067927.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:1067927","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/1067927.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:5dd8a669b4784cc3b773f5fa1be0256a","is_oa":true,"landing_page_url":"https://doaj.org/article/5dd8a669b4784cc3b773f5fa1be0256a","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":"Complexity, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/1067927","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/1067927","pdf_url":"https://downloads.hindawi.com/journals/complexity/2018/1067927.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6907033529","display_name":"\u975e\u7ed3\u6784\u73af\u5883\u4e0b\u4e32\u578b\u6c34\u679c\u9632\u78b0\u635f\u91c7\u6458\u7684\u89c6\u89c9\u8ba4\u77e5\u4e0e\u5939\u526a\u673a\u6784\u8026\u5408\u673a\u5236","funder_award_id":"51705365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335795","display_name":"Science and Technology Planning Project of Guangdong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896005966.pdf","grobid_xml":"https://content.openalex.org/works/W2896005966.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W114058489","https://openalex.org/W1968222391","https://openalex.org/W2051181375","https://openalex.org/W2074833352","https://openalex.org/W2285870816","https://openalex.org/W2315494391","https://openalex.org/W2356081714","https://openalex.org/W2366096157","https://openalex.org/W2367986481","https://openalex.org/W2368155643","https://openalex.org/W2468673050","https://openalex.org/W2521872058","https://openalex.org/W2536318021","https://openalex.org/W2584807945","https://openalex.org/W2592597155","https://openalex.org/W2594224020","https://openalex.org/W2596784518","https://openalex.org/W2613446563","https://openalex.org/W2754133402","https://openalex.org/W2758785840","https://openalex.org/W2765899061","https://openalex.org/W2774037134","https://openalex.org/W2778092082","https://openalex.org/W2778708003","https://openalex.org/W2784646573","https://openalex.org/W2788488009","https://openalex.org/W7029152734"],"related_works":["https://openalex.org/W2011446102","https://openalex.org/W1979511889","https://openalex.org/W3154960554","https://openalex.org/W2158701093","https://openalex.org/W2352725890","https://openalex.org/W3119430538","https://openalex.org/W4391249354","https://openalex.org/W2787192521","https://openalex.org/W2756410301","https://openalex.org/W3028580730"],"abstract_inverted_index":{"Due":[0],"to":[1,105,125,159,167,173,181],"the":[2,6,11,25,29,32,46,51,75,78,81,86,93,96,101,106,116,127,137,161,169,175,183],"continuous":[3],"progress":[4,30],"in":[5,31,45,60,186],"field":[7,33],"of":[8,34,39,57,77,80,95,103,129,163,171],"vehicle":[9,15,35,118,164,176],"hardware,":[10,36],"condition":[12],"that":[13,115],"a":[14,18,37,54,122,141],"cannot":[16],"load":[17],"complex":[19],"algorithm":[20,124,128],"no":[21,153],"longer":[22],"exists.":[23],"At":[24],"same":[26],"time,":[27],"with":[28,92],"number":[38,56],"studies":[40],"have":[41],"reported":[42],"exponential":[43],"growth":[44],"actual":[47,62],"operation.":[48],"To":[49],"solve":[50],"problem":[52],"for":[53,68],"large":[55],"data":[58,104,108,130,138,146],"transmissions":[59],"an":[61],"operation,":[63],"wireless":[64],"transmission":[65,133,147],"is":[66,157],"proposed":[67],"text":[69],"information":[70,119,165],"(including":[71],"position":[72],"information)":[73],"on":[74,121],"basis":[76],"principles":[79],"maximum":[82],"entropy":[83],"probability":[84],"and":[85,132,145,149,178,180],"neural":[87],"network":[88],"prediction":[89],"model":[90],"combined":[91],"optimization":[94],"Huffman":[97],"encoding":[98],"algorithm,":[99],"from":[100],"exchange":[102],"entire":[107],"extraction":[109],"process.":[110],"The":[111],"test":[112],"results":[113],"showed":[114],"text\u2010type":[117],"based":[120],"compressed":[123],"optimize":[126],"compression":[131,143],"could":[134],"effectively":[135],"realize":[136,174],"compression,":[139],"achieve":[140],"higher":[142],"rate":[144],"integrity,":[148],"after":[150],"decompression":[151],"guarantee":[152],"distortion.":[154],"Therefore,":[155],"it":[156],"important":[158],"improve":[160],"efficiency":[162],"transmission,":[166],"ensure":[168],"integrity":[170],"information,":[172],"monitoring":[177],"control,":[179],"grasp":[182],"traffic":[184],"situation":[185],"real":[187],"time.":[188]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}