{"id":"https://openalex.org/W1966780932","doi":"https://doi.org/10.1109/icnc.2010.5582790","title":"A logistics demand forecasting model based on Grey neural network","display_name":"A logistics demand forecasting model based on Grey neural network","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W1966780932","doi":"https://doi.org/10.1109/icnc.2010.5582790","mag":"1966780932"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2010.5582790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5582790","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","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/A5048167695","display_name":"Fangzhong Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I931278978","display_name":"College of Business Administration","ror":"https://ror.org/03x1zq178","country_code":"LV","type":"education","lineage":["https://openalex.org/I931278978"]}],"countries":["CN","LV"],"is_corresponding":false,"raw_author_name":"Fangzhong Qi","raw_affiliation_strings":["College of Business Administration, Zhejiang University of Technology, Hangzhou, China","College of Business Administration, Zhejiang University of Technology, Hangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Business Administration, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Business Administration, Zhejiang University of Technology, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I931278978"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101197730","display_name":"Yu Da","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I931278978","display_name":"College of Business Administration","ror":"https://ror.org/03x1zq178","country_code":"LV","type":"education","lineage":["https://openalex.org/I931278978"]}],"countries":["CN","LV"],"is_corresponding":false,"raw_author_name":"Da Yu","raw_affiliation_strings":["College of Business Administration, Zhejiang University of Technology, Hangzhou, China","College of Business Administration, Zhejiang University of Technology, Hangzhou, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Business Administration, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"College of Business Administration, Zhejiang University of Technology, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I931278978"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047829763","display_name":"Bernhard Holtkamp","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163630","display_name":"Fraunhofer Institute for Software and Systems Engineering","ror":"https://ror.org/058kjq542","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210163630","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Holtkamp","raw_affiliation_strings":["Fraunhofer-Institut f\u00fcr Software- und Systemtechnik ISST, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer-Institut f\u00fcr Software- und Systemtechnik ISST, Dortmund, Germany","institution_ids":["https://openalex.org/I4210163630"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1488","last_page":"1492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14368","display_name":"Evaluation and Optimization Models","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14368","display_name":"Evaluation and Optimization Models","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9685999751091003,"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/demand-forecasting","display_name":"Demand forecasting","score":0.7069873809814453},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5455637574195862},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4973752796649933},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.49717357754707336},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4623943567276001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45309263467788696},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4130132794380188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20436209440231323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19679272174835205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11414006352424622}],"concepts":[{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.7069873809814453},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5455637574195862},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4973752796649933},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.49717357754707336},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4623943567276001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45309263467788696},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4130132794380188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20436209440231323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19679272174835205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11414006352424622},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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":3,"locations":[{"id":"doi:10.1109/icnc.2010.5582790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2010.5582790","pdf_url":null,"source":{"id":"https://openalex.org/S4363608012","display_name":"2010 Sixth International Conference on Natural Computation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Sixth International Conference on Natural Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:fraunhofer.de:N-172320","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-172320.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer ISST","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/369659","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/369659","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1508983471","https://openalex.org/W1854215203","https://openalex.org/W1964705667","https://openalex.org/W1972254335","https://openalex.org/W1982857411","https://openalex.org/W1988164075","https://openalex.org/W1995687640","https://openalex.org/W2026176606","https://openalex.org/W2029497710","https://openalex.org/W2041091936","https://openalex.org/W2042105199","https://openalex.org/W2051047361","https://openalex.org/W2071673097","https://openalex.org/W2072657342","https://openalex.org/W2076520076","https://openalex.org/W2084325993","https://openalex.org/W2092152913","https://openalex.org/W2110017020","https://openalex.org/W2122186779","https://openalex.org/W2130869849","https://openalex.org/W2138782607","https://openalex.org/W2138831818","https://openalex.org/W2142225584","https://openalex.org/W2143369485","https://openalex.org/W2145194755","https://openalex.org/W6680846692"],"related_works":["https://openalex.org/W2598381895","https://openalex.org/W1553072606","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W1974798363"],"abstract_inverted_index":{"Logistics":[0],"demand":[1,59,163],"forecasting":[2,134,144],"is":[3,40,141],"important":[4],"for":[5,56,108,160],"investment":[6],"decision-making":[7],"of":[8,13,48,77,85,90,114,117],"infrastructure":[9],"and":[10,31,37,46,69,97,128,150],"strategy":[11],"programming":[12],"the":[14,25,44,103,115,133],"logistics":[15,58,109,162],"industry.":[16],"In":[17],"this":[18],"paper,":[19],"a":[20,52],"hybrid":[21],"method":[22,145],"which":[23],"combines":[24],"Grey":[26],"Model,":[27],"artificial":[28],"neural":[29],"networks":[30],"other":[32,70,157],"techniques":[33],"in":[34],"both":[35],"learning":[36,53],"analyzing":[38],"phases":[39],"proposed":[41],"to":[42,122,146],"improve":[43],"precision":[45],"reliability":[47],"forecasting.":[49,164],"After":[50],"establishing":[51],"model":[54],"GNNM(1,8)":[55,140],"road":[57,63],"forecasting,":[60],"we":[61],"chose":[62],"freight":[64],"volume":[65],"as":[66,102,126],"target":[67],"value":[68,76,101],"economic":[71],"indicators,":[72],"i.e.":[73],"GDP,":[74],"production":[75],"primary":[78],"industry,":[79,87],"total":[80,98],"industrial":[81],"output":[82],"value,":[83],"outcomes":[84],"tertiary":[86],"retail":[88],"sale":[89],"social":[91],"consumer":[92],"goods,":[93],"disposable":[94],"personal":[95],"income,":[96],"foreign":[99],"trade":[100],"seven":[104],"key":[105],"influencing":[106],"factors":[107],"demand.":[110],"Actual":[111],"data":[112],"sequences":[113],"province":[116],"Zhejiang":[118],"from":[119],"years":[120],"1986":[121],"2008":[123],"were":[124],"collected":[125],"training":[127],"test-proof":[129],"samples.":[130],"By":[131],"comparing":[132],"results,":[135],"it":[136],"turns":[137],"out":[138],"that":[139],"an":[142],"appropriate":[143],"yield":[147],"higher":[148],"accuracy":[149],"lower":[151],"mean":[152],"absolute":[153],"percentage":[154],"errors":[155],"than":[156],"individual":[158],"models":[159],"short-term":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
