{"id":"https://openalex.org/W4388279708","doi":"https://doi.org/10.1109/icbase59196.2023.10303166","title":"Consumer Segmentation Based on Multi-layer Feedforward Neural Network with LeakyReLU Activation Function and AdaMod Optimizer","display_name":"Consumer Segmentation Based on Multi-layer Feedforward Neural Network with LeakyReLU Activation Function and AdaMod Optimizer","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4388279708","doi":"https://doi.org/10.1109/icbase59196.2023.10303166"},"language":"en","primary_location":{"id":"doi:10.1109/icbase59196.2023.10303166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase59196.2023.10303166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)","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/A5100733230","display_name":"Yanming Chen","orcid":"https://orcid.org/0009-0005-2343-4711"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanming Chen","raw_affiliation_strings":["Shantou University,Shantou,China","Shantou University, Shantou, China"],"affiliations":[{"raw_affiliation_string":"Shantou University,Shantou,China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114096633","display_name":"Huanwen Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanwen Zheng","raw_affiliation_strings":["Guangdong University of Finance &#x0026; Economics,Shantou,China"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Finance &#x0026; Economics,Shantou,China","institution_ids":["https://openalex.org/I4210149618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100733230"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":null,"apc_paid":null,"fwci":1.8867,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88937585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"374","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9474999904632568,"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"}},"topics":[{"id":"https://openalex.org/T14139","display_name":"E-commerce and Technology Innovations","score":0.9474999904632568,"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":0.7761974334716797},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5778834223747253},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.5566526055335999},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.5530369281768799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5257400274276733},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5096447467803955},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4795553386211395},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4748549461364746},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.45282799005508423},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.4442221522331238},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43258604407310486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36169564723968506},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.2711299657821655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1283513307571411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761974334716797},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5778834223747253},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.5566526055335999},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.5530369281768799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257400274276733},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5096447467803955},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4795553386211395},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4748549461364746},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.45282799005508423},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.4442221522331238},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43258604407310486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36169564723968506},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2711299657821655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1283513307571411},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbase59196.2023.10303166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbase59196.2023.10303166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Big Data &amp; Artificial Intelligence &amp; Software Engineering (ICBASE)","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":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4295122168","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W1999205703","https://openalex.org/W2104714048","https://openalex.org/W3009218799","https://openalex.org/W1595652908","https://openalex.org/W2104163102","https://openalex.org/W2390775476","https://openalex.org/W2950917560"],"abstract_inverted_index":{"This":[0],"paper":[1,21],"aims":[2],"to":[3,37,78,144],"establish":[4],"a":[5,10,111],"neural":[6,114,139],"network":[7,115],"for":[8,108,154],"solving":[9],"complex":[11],"consumer":[12,149],"four-classification":[13],"problem.":[14],"After":[15],"data":[16],"cleaning":[17],"and":[18,33,72,100,124,127,151,157],"preprocessing,":[19],"this":[20,138],"innovatively":[22],"applies":[23],"topsis":[24,46],"algorithm":[25,47,102],"combined":[26],"with":[27,118],"spearman":[28],"correlation,":[29],"randomforest":[30],"feature":[31,35,38,41,53,76],"importance,":[32],"adaboosting":[34],"importance":[36],"selection.":[39],"The":[40],"screening":[42,54],"results":[43],"synthesized":[44],"by":[45],"are":[48,103],"more":[49],"effective":[50],"than":[51],"single":[52],"algorithm.":[55],"In":[56],"the":[57,62,70,74,80,84],"process":[58],"of":[59,64,83,135],"model":[60],"building,":[61],"use":[63],"AdaMod":[65,122],"optimizer":[66],"can":[67],"adaptively":[68],"adjust":[69],"parameters":[71],"select":[73],"optimal":[75],"set":[77],"improve":[79],"generalization":[81],"ability":[82],"model.":[85],"Then,":[86],"widely":[87],"used":[88,104],"machine":[89],"learning":[90],"algorithms":[91],"including":[92],"logistic":[93],"regression,":[94],"KNN,":[95],"decision":[96],"tree,":[97],"randomforest,":[98],"adaboosting,":[99],"stacking":[101],"as":[105],"control":[106],"experiments":[107],"comparison.":[109],"Finally,":[110],"13-layer":[112],"feedforward":[113],"is":[116,130,142],"built":[117],"LeakyReLU":[119],"activation":[120],"function,":[121],"optimizer,":[123],"L2":[125],"regularization,":[126],"10-fold":[128],"cross-validation":[129],"performed,":[131],"achieving":[132],"an":[133],"F1-score":[134],"0.98.":[136],"Through":[137],"network,":[140],"it":[141],"possible":[143],"help":[145],"businesses":[146],"better":[147],"classify":[148],"groups":[150],"provide":[152],"reference":[153],"their":[155],"marketing":[156],"product":[158],"promotion":[159],"strategies.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
