{"id":"https://openalex.org/W2019409290","doi":"https://doi.org/10.1109/cisp.2010.5647632","title":"Content measurement of textile mixture by near infrared spectroscopy based on BP neural network","display_name":"Content measurement of textile mixture by near infrared spectroscopy based on BP neural network","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2019409290","doi":"https://doi.org/10.1109/cisp.2010.5647632","mag":"2019409290"},"language":"en","primary_location":{"id":"doi:10.1109/cisp.2010.5647632","doi":"https://doi.org/10.1109/cisp.2010.5647632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2010.5647632","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 3rd International Congress on Image and Signal Processing","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100418759","display_name":"Li Liu","orcid":"https://orcid.org/0000-0001-9147-3855","observed_orcids":["https://orcid.org/0000-0001-9147-3855"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044602576","display_name":"Li Yan","orcid":"https://orcid.org/0000-0002-5507-810X","observed_orcids":["https://orcid.org/0000-0002-5507-810X","https://orcid.org/0000-0002-0222-9998"]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yan","raw_affiliation_strings":["Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011298088","display_name":"Yaocheng Xie","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaocheng Xie","raw_affiliation_strings":["Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ge Xia","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210119942","display_name":"Wuhan Textile University","ror":"https://ror.org/02jgsf398","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Xia","raw_affiliation_strings":["Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Opto-electronic Technology Center, Wuhan Textile University, Wuhan, China","institution_ids":["https://openalex.org/I4210119942"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210119942"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3354","last_page":"3358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Waste Management and Disposal"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cotton","display_name":"cotton","score":0.4000000059604645},{"id":"https://openalex.org/keywords/terylene","display_name":"Terylene","score":0.9779999852180481},{"id":"https://openalex.org/keywords/polyesters","display_name":"polyesters","score":0.5149999856948853},{"id":"https://openalex.org/keywords/near-infrared-spectroscopy","display_name":"near-infrared spectroscopy","score":0.8659999966621399},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9470000267028809},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.9819999933242798},{"id":"https://openalex.org/keywords/spectral-data-compression","display_name":"spectral data compression","score":0.7229999899864197},{"id":"https://openalex.org/keywords/multivariable-linear-regression","display_name":"multivariable linear regression","score":0.8840000033378601}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.8292413949966431},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7238054275512695},{"id":"https://openalex.org/C43571822","wikidata":"https://www.wikidata.org/wiki/Q599037","display_name":"Near-infrared spectroscopy","level":2,"score":0.6513819098472595},{"id":"https://openalex.org/C32891209","wikidata":"https://www.wikidata.org/wiki/Q483666","display_name":"Spectroscopy","level":2,"score":0.5248109102249146},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5086036920547485},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.49004924297332764},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.48225098848342896},{"id":"https://openalex.org/C153642686","wikidata":"https://www.wikidata.org/wiki/Q70906","display_name":"Infrared spectroscopy","level":2,"score":0.47984763979911804},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47511324286460876},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4576583802700043},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4331347942352295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3773667812347412},{"id":"https://openalex.org/C113196181","wikidata":"https://www.wikidata.org/wiki/Q485223","display_name":"Analytical Chemistry (journal)","level":2,"score":0.36024242639541626},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.35442477464675903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3201814293861389},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23945215344429016},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.20007961988449097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17149123549461365},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.16360890865325928},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13298305869102478},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.09643775224685669},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07541179656982422},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp.2010.5647632","doi":"https://doi.org/10.1109/cisp.2010.5647632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp.2010.5647632","pdf_url":null,"source":{"id":"https://openalex.org/S4363605216","display_name":"International Congress on Image and Signal Processing (CISP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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 3rd International Congress on Image and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W912739217","https://openalex.org/W2360825072","https://openalex.org/W2371101686","https://openalex.org/W2394398964","https://openalex.org/W7036555892"],"related_works":["https://openalex.org/W2078977303","https://openalex.org/W2071643305","https://openalex.org/W2032753389","https://openalex.org/W2291992197","https://openalex.org/W2073751368","https://openalex.org/W2071864626","https://openalex.org/W4249513461","https://openalex.org/W2351284810","https://openalex.org/W4312142541","https://openalex.org/W2020517975"],"abstract_inverted_index":{"An":[0],"approach":[1,174],"using":[2],"near":[3,52],"infrared":[4,53],"spectroscopy":[5],"(NIR)":[6],"combined":[7],"with":[8,29],"back":[9],"propagation":[10],"(BP)":[11],"neural":[12,82,182],"network":[13,83,98,138,161,183],"for":[14,63,102,107,121,190],"the":[15,41,64,75,93,115,122,128,133,136],"accurate":[16],"measurement":[17],"of":[18,21,96,124,130,135],"fiber":[19],"contents":[20,34],"textile":[22,191],"mixture":[23],"was":[24,61,163],"put":[25],"forward.":[26],"56":[27],"samples":[28,104,143],"different":[30],"cotton":[31],"and":[32,46,50,80,105,118,141],"terylene":[33],"were":[35,38,55,88,144],"prepared,":[36],"which":[37,110,154],"divided":[39],"into":[40],"calibration":[42,103,140,152],"set,":[43],"validation":[44,108,142],"set":[45,48],"prediction":[47,94,123],"respectively":[49],"their":[51],"spectra":[54,65],"obtained.":[56],"The":[57,158],"wavelet":[58],"transform":[59],"(WT)":[60],"utilized":[62,145],"data":[66],"compression.":[67],"Multivariable":[68],"linear":[69],"regression":[70],"(MLR)":[71],"model":[72,84,99,117,162],"based":[73,85,179],"on":[74,86,180],"Lambert":[76],"-":[77],"Beer's":[78],"law":[79],"BP":[81,181],"WT":[87],"developed.":[89],"It":[90],"indicates":[91],"that":[92,172],"accuracy":[95],"WT-ca3-BP":[97,137,160],"is":[100,111,119],"2%":[101],"4%":[106],"samples,":[109,153],"much":[112],"higher":[113],"than":[114],"MLR":[116],"suitable":[120],"unknown":[125,167],"samples.":[126,168],"On":[127],"basis":[129],"not":[131],"changing":[132],"structure":[134],"model,":[139],"fully":[146],"to":[147,150,165,187],"be":[148,185],"re-set":[149],"new":[151],"upgraded":[155,159],"this":[156,173],"model.":[157],"applied":[164],"predict":[166],"Experimental":[169],"results":[170],"show":[171],"by":[175],"Near":[176],"Infrared":[177],"Spectroscopy":[178],"can":[184],"used":[186],"quantitative":[188],"analysis":[189],"fiber.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
