{"id":"https://openalex.org/W1963782861","doi":"https://doi.org/10.1177/0040517509104758","title":"Predicting Seam Performance of Commercial Woven Fabrics Using Multiple Logarithm Regression and Artificial Neural Networks","display_name":"Predicting Seam Performance of Commercial Woven Fabrics Using Multiple Logarithm Regression and Artificial Neural Networks","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W1963782861","doi":"https://doi.org/10.1177/0040517509104758","mag":"1963782861"},"language":"en","primary_location":{"id":"doi:10.1177/0040517509104758","doi":"https://doi.org/10.1177/0040517509104758","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0040517509104758","pdf_url":null,"source":{"id":"https://openalex.org/S70817854","display_name":"Textile Research Journal","issn_l":"0040-5175","issn":["0040-5175","0096-5928","1746-7748"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Textile Research Journal","raw_type":"journal-article"},"volume":null,"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/A5021584659","display_name":"Chi Leung Hui","orcid":"https://orcid.org/0000-0002-0489-1440","observed_orcids":["https://orcid.org/0000-0002-0489-1440"]},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi Leung Hui","raw_affiliation_strings":["Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon,","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111815486","display_name":"S.F. Ng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sau Fun Ng","raw_affiliation_strings":["Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":1.6819,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.80613979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"79","issue":"18","first_page":"1649","last_page":"1657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11595","display_name":"Textile materials and evaluations","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/woven-fabrics","display_name":"woven fabrics","score":0.8880000114440918},{"id":"https://openalex.org/keywords/seam-puckering","display_name":"seam puckering","score":0.9869999885559082},{"id":"https://openalex.org/keywords/seam-efficiency","display_name":"seam efficiency","score":0.9950000047683716},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9470000267028809},{"id":"https://openalex.org/keywords/predictive-model","display_name":"prediction model","score":0.5460000038146973}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8695119619369507},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7758468389511108},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.7483081221580505},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6214053630828857},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.4813562035560608},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4785493016242981},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4752766191959381},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46611836552619934},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.465997576713562},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4369594156742096},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42642027139663696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4223478138446808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41889724135398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41108131408691406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3907396197319031},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/0040517509104758","doi":"https://doi.org/10.1177/0040517509104758","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0040517509104758","pdf_url":null,"source":{"id":"https://openalex.org/S70817854","display_name":"Textile Research Journal","issn_l":"0040-5175","issn":["0040-5175","0096-5928","1746-7748"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-1","ki-jl-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Textile Research Journal","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/13458","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/13458","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8399999737739563}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W617022482","https://openalex.org/W1606551523","https://openalex.org/W1970707362","https://openalex.org/W1971581014","https://openalex.org/W1977026050","https://openalex.org/W1981350336","https://openalex.org/W1982020137","https://openalex.org/W1987983129","https://openalex.org/W1997587163","https://openalex.org/W2000373992","https://openalex.org/W2002036937","https://openalex.org/W2003460438","https://openalex.org/W2009242076","https://openalex.org/W2010467776","https://openalex.org/W2019161426","https://openalex.org/W2026427833","https://openalex.org/W2031562682","https://openalex.org/W2048766932","https://openalex.org/W2058446642","https://openalex.org/W2058718556","https://openalex.org/W2064538475","https://openalex.org/W2068201828","https://openalex.org/W2082738740","https://openalex.org/W2083528599","https://openalex.org/W2093572222","https://openalex.org/W2100112209","https://openalex.org/W2101517168","https://openalex.org/W2132400744","https://openalex.org/W2137593604","https://openalex.org/W2171162365","https://openalex.org/W2496188775","https://openalex.org/W4241160800"],"related_works":["https://openalex.org/W3045733847","https://openalex.org/W7164821408","https://openalex.org/W2003460438","https://openalex.org/W2515255640","https://openalex.org/W1944431235","https://openalex.org/W2064063608","https://openalex.org/W2016852694","https://openalex.org/W2031562682","https://openalex.org/W2084543927","https://openalex.org/W4312376232"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"the":[3,57,69,77,103,115,123,133,163,175],"capability":[4],"of":[5,18,49,81,118,125,166,178],"artificial":[6,58],"neural":[7,59],"networks":[8],"and":[9,28,44,93,99,114,158],"multiple":[10,70],"logarithm":[11,71],"regression":[12,72],"methods":[13],"for":[14,87],"modeling":[15],"seam":[16,24,26,29,89,91,94,176],"performance":[17,65,177],"commercial":[19],"woven":[20,179],"fabrics":[21],"based":[22],"on":[23],"puckering,":[25,90],"flotation":[27],"efficiency":[30,95],"were":[31,36,152,172],"investigated.":[32],"The":[33,53,74],"developed":[34],"models":[35,86,141,151,171],"assessed":[37],"by":[38,139],"verifying":[39],"Mean":[40],"Square":[41],"Error":[42],"(MSE)":[43],"Correlation":[45],"Coefficient":[46],"(":[47],"R-value)":[48],"test":[50],"data":[51,130,167],"prediction.":[52],"results":[54],"indicated":[55],"that":[56,149],"network":[60],"(ANN)":[61],"model":[62,105],"has":[63],"better":[64],"in":[66,83,135],"comparison":[67],"with":[68],"model.":[73],"difference":[75,134],"between":[76],"mean":[78],"square":[79],"error":[80],"predicting":[82,88,174],"these":[84],"two":[85],"flotation,":[92],"was":[96,106,120,142,147],"0.0394,":[97],"0.0096,":[98],"0.0049,":[100],"respectively.":[101],"Thus,":[102],"ANN":[104],"found":[107,148],"to":[108,154,161],"be":[109],"more":[110,156],"accurate":[111],"than":[112],"MLR,":[113],"prediction":[116,136],"errors":[117,137],"ANNs":[119],"low":[121],"despite":[122],"availability":[124],"only":[126],"a":[127],"small":[128],"training":[129],"set.":[131],"However,":[132],"made":[138],"both":[140,170],"not":[143],"significantly":[144],"high.":[145],"It":[146],"MLR":[150],"quicker":[153],"construct,":[155],"transparent,":[157],"less":[159],"likely":[160],"overfit":[162],"minimal":[164],"amount":[165],"available.":[168],"Therefore,":[169],"effectively":[173],"fabrics.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
