{"id":"https://openalex.org/W3140726828","doi":"https://doi.org/10.1145/3445815.3445823","title":"Port Throughput Forecast Model Based on Adam Optimized GRU Neural Network","display_name":"Port Throughput Forecast Model Based on Adam Optimized GRU Neural Network","publication_year":2020,"publication_date":"2020-12-11","ids":{"openalex":"https://openalex.org/W3140726828","doi":"https://doi.org/10.1145/3445815.3445823","mag":"3140726828"},"language":"en","primary_location":{"id":"doi:10.1145/3445815.3445823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5089450143","display_name":"Xiubin Chen","orcid":"https://orcid.org/0000-0002-2049-6715"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiubin Chen","raw_affiliation_strings":["Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100784430","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0003-4087-3677"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Beijing Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7325999736785889,"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"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7325999736785889,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.698199987411499,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.6665999889373779,"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/throughput","display_name":"Throughput","score":0.7764554619789124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7271016836166382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7178328037261963},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.6654555797576904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4368554651737213},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.328316330909729},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15896299481391907},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12817412614822388},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09594398736953735},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.05726659297943115}],"concepts":[{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.7764554619789124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7271016836166382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178328037261963},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.6654555797576904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4368554651737213},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.328316330909729},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15896299481391907},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12817412614822388},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09594398736953735},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.05726659297943115}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3445815.3445823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3445815.3445823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 4th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W3002275451","https://openalex.org/W3163289345"],"related_works":["https://openalex.org/W2753223082","https://openalex.org/W3025119703","https://openalex.org/W4387941415","https://openalex.org/W2347757802","https://openalex.org/W2136583354","https://openalex.org/W600655143","https://openalex.org/W4385372470","https://openalex.org/W2111238207","https://openalex.org/W2985673614","https://openalex.org/W2377578550"],"abstract_inverted_index":{"The":[0,139],"forecast":[1,74],"of":[2,15,26,53,104,150],"port":[3,34,72],"throughput":[4,73,102],"can":[5,93],"not":[6],"only":[7],"provide":[8,20],"a":[9,21,71],"basis":[10],"for":[11,23],"the":[12,16,24,30,33,42,50,54,85,95,101,118,148],"business":[13],"plan":[14],"enterprise,":[17],"but":[18],"also":[19],"reference":[22],"construction":[25],"transportation":[27],"facilities":[28],"in":[29],"city":[31],"where":[32],"is":[35],"located.":[36],"Gated":[37],"Recurrent":[38,133],"Unit":[39],"(GRU),":[40],"as":[41,112],"latest":[43],"Long":[44],"Short-Term":[45],"Memory":[46],"(LSTM)":[47],"variant,":[48],"solves":[49],"complementary":[51],"redundancy":[52],"original":[55],"input":[56],"gate":[57],"and":[58,137,157],"forget":[59],"gate.":[60],"In":[61],"order":[62],"to":[63],"predict":[64],"data":[65,103],"more":[66,98],"accurately,":[67],"this":[68,115],"paper":[69,116],"proposes":[70],"model":[75,120],"based":[76],"on":[77],"Adam":[78,90],"optimized":[79],"GRU":[80,92],"neural":[81],"network":[82],"(Adam-GRU).":[83],"Combining":[84],"effective":[86],"gradient":[87],"optimization":[88],"algorithm":[89],"with":[91,121],"make":[94],"forecasting":[96,125],"process":[97],"efficient.":[99],"Taking":[100],"Guangzhou":[105],"Port":[106,109],"Group":[107],"G":[108],"Affairs":[110],"Company":[111],"an":[113],"example,":[114],"compares":[117],"Adam-GRU":[119,144],"other":[122],"proven":[123],"traditional":[124],"methods,":[126],"including":[127],"Back":[128],"Propagation":[129],"(BP)":[130],"Neural":[131,134],"Network,":[132],"Network":[135],"(RNN)":[136],"LSTM.":[138],"experimental":[140],"results":[141],"show":[142],"that":[143],"performs":[145],"better":[146],"under":[147],"evaluation":[149],"various":[151],"performance":[152],"indicators,":[153],"reflecting":[154],"clear":[155],"practicality":[156],"innovation.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}