{"id":"https://openalex.org/W3008484589","doi":"https://doi.org/10.1109/ssci44817.2019.9003015","title":"A Logistics Network Distribution Algorithm Based on Deep Learning","display_name":"A Logistics Network Distribution Algorithm Based on Deep Learning","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008484589","doi":"https://doi.org/10.1109/ssci44817.2019.9003015","mag":"3008484589"},"language":"en","primary_location":{"id":"doi:10.1109/ssci44817.2019.9003015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5112235108","display_name":"Panfeng Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Panfeng Xu","raw_affiliation_strings":["School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079059862","display_name":"Jiaqi Miao","orcid":"https://orcid.org/0000-0002-1849-7065"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Miao","raw_affiliation_strings":["School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004774454","display_name":"Shengsheng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengsheng Zhou","raw_affiliation_strings":["School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450564","display_name":"Hongyang Liu","orcid":"https://orcid.org/0000-0002-3360-6063"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyang Liu","raw_affiliation_strings":["School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066027287","display_name":"Youming Wang","orcid":"https://orcid.org/0000-0002-5184-2705"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youming Wang","raw_affiliation_strings":["School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an University of Posts & Telecommunications, Xi\u2019an, China","institution_ids":["https://openalex.org/I4210136859"]},{"raw_affiliation_string":"School of Automation, Xi'an University of Posts & Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112235108"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.6783,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80321846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"208","issue":null,"first_page":"3215","last_page":"3220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9472000002861023,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14042","display_name":"Technology and Security Systems","score":0.9472000002861023,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.9358999729156494,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9050999879837036,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816847324371338},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49018698930740356},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.45060065388679504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4361749589443207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10470107197761536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816847324371338},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49018698930740356},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.45060065388679504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4361749589443207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10470107197761536},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci44817.2019.9003015","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci44817.2019.9003015","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium Series on Computational Intelligence (SSCI)","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":19,"referenced_works":["https://openalex.org/W1492922096","https://openalex.org/W2035783269","https://openalex.org/W2046904921","https://openalex.org/W2102750402","https://openalex.org/W2368197494","https://openalex.org/W2399210022","https://openalex.org/W2559356229","https://openalex.org/W2608990483","https://openalex.org/W2755614782","https://openalex.org/W2791663880","https://openalex.org/W2805307000","https://openalex.org/W2889531693","https://openalex.org/W2897983007","https://openalex.org/W2901179650","https://openalex.org/W2905610756","https://openalex.org/W2912197706","https://openalex.org/W2916797088","https://openalex.org/W2926366486","https://openalex.org/W2946754433"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"With":[0],"the":[1,7,21,24,34,38,41,51,55,78,111,123,139,146,153,163,172,189,195,197,209,213],"rapid":[2],"development":[3,68],"of":[4,9,33,40,54,126,141,152],"logistics":[5,12,22,56,85,91,105,112,132,150,182,200,215],"industry,":[6],"position":[8],"outlets":[10,86,106,127,133,158,183,201],"in":[11,49,204],"system":[13],"is":[14,74,114,136,174,186],"becoming":[15],"more":[16,18],"and":[17,26,69,88,98,118,149,156],"important.":[19,30],"In":[20,108,169],"system,":[23],"planning":[25,32],"layout":[27,134,164,184],"are":[28,95,159],"extremely":[29],"Correct":[31],"location":[35,147],"can":[36,207],"improve":[37],"efficiency":[39],"resource":[42],"effectively,":[43],"which":[44],"plays":[45],"a":[46,129],"crucial":[47],"role":[48],"realizing":[50],"efficient":[52],"operation":[53],"system.":[57],"Limited":[58],"by":[59,161,176],"China's":[60],"vast":[61],"territory,":[62],"large":[63],"population,":[64],"unbalanced":[65],"regional":[66],"economic":[67],"other":[70],"practical":[71],"conditions,":[72],"it":[73],"difficult":[75],"to":[76,103],"adapt":[77],"complex":[79],"situation":[80,125],"with":[81,100,122,138,166,188,212],"traditional":[82,101],"single-layer":[83,89],"one-element":[84],"model":[87,135,202],"multi-element":[90,131,199],"network":[92,167,179],"model.":[93,168],"There":[94],"certain":[96],"limitations":[97],"deficiencies":[99],"models":[102],"utilize":[104],"resource.":[107],"this":[109,170,205],"paper,":[110,171],"problem":[113,185],"comprehensively":[115],"sorted":[116],"out":[117],"studied.":[119],"Meanwhile,":[120],"combining":[121],"current":[124],"layout,":[128],"multilayer":[130],"proposed":[137,203],"goal":[140],"minimizing":[142],"transportation":[143],"cost.":[144,216],"Eventually,":[145],"selection":[148],"scale":[151],"transfer":[154],"center":[155],"basic":[157],"determined":[160],"analyzing":[162],"condition":[165],"data":[173],"trained":[175],"convolutional":[177],"neural":[178],".":[180],"The":[181],"analogized":[187],"minimum":[190],"value":[191],"calculation":[192],"problem.":[193],"After":[194],"comparison,":[196],"multi-layer":[198],"paper":[206],"realize":[208],"distribution":[210],"function":[211],"lowest":[214]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
