{"id":"https://openalex.org/W2905033266","doi":"https://doi.org/10.1155/2018/2981428","title":"Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application","display_name":"Soft Sensor Model Based on Improved Elman Neural Network with Variable Data Preprocessing and Its Application","publication_year":2018,"publication_date":"2018-12-13","ids":{"openalex":"https://openalex.org/W2905033266","doi":"https://doi.org/10.1155/2018/2981428","mag":"2905033266"},"language":"en","primary_location":{"id":"doi:10.1155/2018/2981428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2981428","pdf_url":"http://downloads.hindawi.com/journals/js/2018/2981428.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2018/2981428.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023998814","display_name":"Zhu Hai-bo","orcid":null},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai-bo Zhu","raw_affiliation_strings":["School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China","institution_ids":["https://openalex.org/I114117164"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100782649","display_name":"Zhang Yong","orcid":"https://orcid.org/0000-0002-0729-3227"},"institutions":[{"id":"https://openalex.org/I114117164","display_name":"University of Science and Technology Liaoning","ror":"https://ror.org/03grx7119","country_code":"CN","type":"education","lineage":["https://openalex.org/I114117164"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, China","institution_ids":["https://openalex.org/I114117164"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100782649"],"corresponding_institution_ids":["https://openalex.org/I114117164"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.749,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74027271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9882000088691711,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9882000088691711,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.988099992275238,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9667999744415283,"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/soft-sensor","display_name":"Soft sensor","score":0.8737437129020691},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6686924695968628},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5876411199569702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770813226699829},{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.5512616634368896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5457385182380676},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.45152583718299866},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4125417172908783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4122442901134491},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3633858561515808},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.317560613155365},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.1901613175868988},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.10430049896240234}],"concepts":[{"id":"https://openalex.org/C115575686","wikidata":"https://www.wikidata.org/wiki/Q18822403","display_name":"Soft sensor","level":3,"score":0.8737437129020691},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6686924695968628},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5876411199569702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770813226699829},{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.5512616634368896},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5457385182380676},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.45152583718299866},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4125417172908783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4122442901134491},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3633858561515808},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.317560613155365},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.1901613175868988},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.10430049896240234},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/2981428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2981428","pdf_url":"http://downloads.hindawi.com/journals/js/2018/2981428.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3250afec9ca5491580b759a4701351d0","is_oa":true,"landing_page_url":"https://doaj.org/article/3250afec9ca5491580b759a4701351d0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/2981428","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/2981428","pdf_url":"http://downloads.hindawi.com/journals/js/2018/2981428.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G16261059","display_name":null,"funder_award_id":"61473054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2905033266.pdf","grobid_xml":"https://content.openalex.org/works/W2905033266.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W968542037","https://openalex.org/W1492106702","https://openalex.org/W1770943136","https://openalex.org/W1978851512","https://openalex.org/W1981407883","https://openalex.org/W1994443280","https://openalex.org/W2052809458","https://openalex.org/W2083152959","https://openalex.org/W2097308346","https://openalex.org/W2226886180","https://openalex.org/W2258106433","https://openalex.org/W2316949790","https://openalex.org/W2344730675","https://openalex.org/W2395084017","https://openalex.org/W2402626049","https://openalex.org/W2488010014","https://openalex.org/W2539756354","https://openalex.org/W2587347436","https://openalex.org/W2591864187","https://openalex.org/W2631667371","https://openalex.org/W2734408918","https://openalex.org/W2750639649","https://openalex.org/W2759196042","https://openalex.org/W2765452836","https://openalex.org/W2770818215","https://openalex.org/W2790206624","https://openalex.org/W2791748024","https://openalex.org/W4254899431"],"related_works":["https://openalex.org/W2991587282","https://openalex.org/W4288018740","https://openalex.org/W3008919350","https://openalex.org/W2989490741","https://openalex.org/W3092628223","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513"],"abstract_inverted_index":{"In":[0,33],"order":[1],"to":[2,57,76,91,129,162],"solve":[3],"the":[4,27,58,79,83,89,119,123,131,164,167,179,183,211],"problems":[5],"of":[6,82,97,127],"strong":[7],"coupling,":[8],"nonlinearity,":[9],"and":[10,23,51,69,95,122,133,153,160,191,197,207],"complex":[11],"mechanism":[12,72],"in":[13,30,157,166],"real-world":[14],"engineering":[15],"process,":[16],"building":[17],"soft":[18,40,59,84,137,175],"sensor":[19,41,60,85,138,176],"with":[20,111,145],"excellent":[21,188],"performance":[22,190],"robustness":[24],"has":[25,88,186],"become":[26],"core":[28],"issue":[29],"industrial":[31,212],"processes.":[32],"this":[34],"paper,":[35],"we":[36],"propose":[37],"a":[38],"new":[39],"model":[42,139,177,194],"based":[43,140],"on":[44,141],"improved":[45,63,142],"Elman":[46,64,143],"neural":[47],"network":[48,71],"(Elman":[49],"NN)":[50],"introduce":[52],"variable":[53,102,146],"data":[54,103,134,147],"preprocessing":[55,104,148],"method":[56,105,149,185,209],"model.":[61],"The":[62,100,136],"NN":[65,144],"employs":[66],"local":[67,112],"feedback":[68],"feedforward":[70],"through":[73],"context":[74],"layer":[75],"accurately":[77],"reflect":[78],"dynamic":[80],"characteristics":[81],"model,":[86],"which":[87,116,203],"superiority":[90],"approximate":[92],"delay":[93],"systems":[94],"adaption":[96],"time-varying":[98],"characteristics.":[99],"proposed":[101,184],"adopts":[106],"combining":[107,151],"Isometric":[108],"Mapping":[109],"(ISOMAP)":[110],"linear":[113],"embedding":[114],"(LLE),":[115],"effectively":[117],"maintains":[118],"neighborhood":[120],"structure":[121],"global":[124],"mutual":[125],"distance":[126],"dataset":[128],"remove":[130],"noises":[132],"redundancy.":[135],"by":[150],"ISOMAP":[152],"LLE":[154],"is":[155],"applied":[156],"practical":[158],"sintering":[159],"pelletizing":[161],"estimate":[163],"temperature":[165],"rotary":[168],"kiln":[169],"calcining":[170],"process.":[171],"Comparing":[172],"several":[173],"conventional":[174],"methods,":[178],"results":[180],"indicate":[181],"that":[182],"more":[187],"generalization":[189],"robustness.":[192],"Its":[193],"prediction":[195],"accuracy":[196],"anti-interference":[198],"ability":[199],"have":[200],"been":[201],"improved,":[202],"provide":[204],"an":[205],"effective":[206],"promising":[208],"for":[210],"process":[213],"application.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}