{"id":"https://openalex.org/W2972347862","doi":"https://doi.org/10.1109/icarm.2019.8833872","title":"A Gas Analysis Model with Uninformative Variable Elimination Using Nonlinearity Compensation by RBFNN","display_name":"A Gas Analysis Model with Uninformative Variable Elimination Using Nonlinearity Compensation by RBFNN","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972347862","doi":"https://doi.org/10.1109/icarm.2019.8833872","mag":"2972347862"},"language":"en","primary_location":{"id":"doi:10.1109/icarm.2019.8833872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8833872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5066239797","display_name":"Panpan Zhang","orcid":"https://orcid.org/0000-0002-3761-4386"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Panpan Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102001845","display_name":"Yanbin Zhang","orcid":"https://orcid.org/0000-0002-8555-164X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanbin Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084856540","display_name":"Hui Cao","orcid":"https://orcid.org/0000-0003-3301-2713"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Cao","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103001898","display_name":"Zonglin Ye","orcid":"https://orcid.org/0000-0002-4709-8741"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zonglin Ye","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021351868","display_name":"Dapeng Yan","orcid":"https://orcid.org/0000-0002-6436-4220"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Yan","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003247946","display_name":"Shuangsi Xue","orcid":"https://orcid.org/0000-0002-7623-0051"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangsi Xue","raw_affiliation_strings":["Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shaanxi Key Laboratory of Smart Grid & State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066239797"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09553406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"667","issue":null,"first_page":"504","last_page":"509"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983000159263611,"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/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"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/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.8419347405433655},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.7937086820602417},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.575140655040741},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5262222290039062},{"id":"https://openalex.org/keywords/non-linear-least-squares","display_name":"Non-linear least squares","score":0.45740747451782227},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.4551354646682739},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4381495714187622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4315977692604065},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.4148951470851898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36622023582458496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36574268341064453},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.35273680090904236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33261391520500183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3205275535583496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24125626683235168},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.14761504530906677}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.8419347405433655},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.7937086820602417},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.575140655040741},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5262222290039062},{"id":"https://openalex.org/C45923927","wikidata":"https://www.wikidata.org/wiki/Q3319230","display_name":"Non-linear least squares","level":3,"score":0.45740747451782227},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.4551354646682739},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4381495714187622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4315977692604065},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.4148951470851898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36622023582458496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36574268341064453},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.35273680090904236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33261391520500183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3205275535583496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24125626683235168},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.14761504530906677},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icarm.2019.8833872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm.2019.8833872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"},{"id":"mag:3208825423","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902259851078929","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"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/W1017173347","https://openalex.org/W1215106595","https://openalex.org/W1457649997","https://openalex.org/W1549412372","https://openalex.org/W1600297515","https://openalex.org/W1808644423","https://openalex.org/W1987864869","https://openalex.org/W2009270776","https://openalex.org/W2021754455","https://openalex.org/W2034927860","https://openalex.org/W2065583403","https://openalex.org/W2084169316","https://openalex.org/W2108919852","https://openalex.org/W2113442785","https://openalex.org/W2133782497","https://openalex.org/W2464985518","https://openalex.org/W2508898866","https://openalex.org/W2622696009","https://openalex.org/W2741488669"],"related_works":["https://openalex.org/W1215106595","https://openalex.org/W2548763702","https://openalex.org/W2013654433","https://openalex.org/W2073566205","https://openalex.org/W1867873931","https://openalex.org/W2907022608","https://openalex.org/W2365098414","https://openalex.org/W2037255144","https://openalex.org/W2726275270","https://openalex.org/W2776668752","https://openalex.org/W2517014712","https://openalex.org/W2097079788","https://openalex.org/W2018782479","https://openalex.org/W2044072271","https://openalex.org/W2795031936","https://openalex.org/W3139337668","https://openalex.org/W2315758390","https://openalex.org/W2355427939","https://openalex.org/W1994649230","https://openalex.org/W2932910025"],"abstract_inverted_index":{"Gas":[0],"analysis":[1],"of":[2,44,67,79],"robotic":[3],"olfaction":[4],"is":[5,21,51,61,87,104,129],"becoming":[6],"increasingly":[7],"important":[8],"for":[9],"environment":[10],"recognition.":[11],"In":[12],"this":[13],"work,":[14],"radial":[15],"basis":[16],"function":[17],"neural":[18],"network":[19],"(RBFNN)":[20],"introduced":[22],"to":[23,63,75,106,115],"compensate":[24],"nonlinearity":[25,66],"in":[26,139],"the":[27,40,47,65,68,71,77,90,108,116,132,140],"uninformative":[28],"variable":[29,141],"elimination":[30],"algorithm":[31],"(UVE).":[32],"A":[33,98],"nonlinear":[34],"partial":[35,41,54],"least":[36,42,55],"squares":[37,43,56],"(NPLS)":[38],"replaces":[39],"UVE":[45,123],"as":[46],"regression":[48,72],"model,":[49],"which":[50,93],"built":[52],"by":[53,83],"integrated":[57],"with":[58,118,125],"RBFNN.":[59],"RBFNN":[60],"adopted":[62],"address":[64],"datasets.":[69],"Moreover,":[70],"coefficients":[73],"served":[74],"evaluate":[76],"contribution":[78],"variables":[80,92],"are":[81,113],"calculated":[82],"NPLS.":[84],"Then":[85],"NPLS":[86,117,126],"performed":[88],"on":[89],"selected":[91],"make":[94],"a":[95,136],"bigger":[96],"contribution.":[97],"real":[99],"flue":[100],"gas":[101,144],"spectral":[102],"datasets":[103],"used":[105],"validate":[107],"proposed":[109,133],"method.":[110,127],"The":[111],"results":[112],"compared":[114],"all":[119],"wavelengths":[120],"method":[121],"and":[122,143],"combined":[124],"It":[128],"shown":[130],"that":[131],"model":[134],"achieved":[135],"better":[137],"performance":[138],"selection":[142],"components":[145],"prediction.":[146]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}