{"id":"https://openalex.org/W1542748413","doi":"https://doi.org/10.1109/icsmc.2005.1571323","title":"A Novel Measurement Scheme for Periodic Fouling in Recipe Alternation Based on Hybrid Fuzzy Neural Netwok","display_name":"A Novel Measurement Scheme for Periodic Fouling in Recipe Alternation Based on Hybrid Fuzzy Neural Netwok","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W1542748413","doi":"https://doi.org/10.1109/icsmc.2005.1571323","mag":"1542748413"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2005.1571323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","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/A5029708834","display_name":"Dibo Hou","orcid":"https://orcid.org/0000-0002-3948-9072"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dibo Hou","raw_affiliation_strings":["Department of Control Science and Engineering, University of Zhejiang, Hangzhou, China","[Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou]","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zekui Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zekui Zhou","raw_affiliation_strings":["Department of Control Science and Engineering, University of Zhejiang, Hangzhou, China","[Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Control Science and Engineering, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"[Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou]","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0412453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1280","last_page":"1285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14474","display_name":"Industrial Technology and Control Systems","score":0.9794999957084656,"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/T14474","display_name":"Industrial Technology and Control Systems","score":0.9794999957084656,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9746000170707703,"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":0.9648000001907349,"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/recipe","display_name":"Recipe","score":0.8330793976783752},{"id":"https://openalex.org/keywords/fouling","display_name":"Fouling","score":0.7926522493362427},{"id":"https://openalex.org/keywords/alternation","display_name":"Alternation (linguistics)","score":0.6686949729919434},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6178483963012695},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5547463297843933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5207026600837708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49036574363708496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42016738653182983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3526793122291565},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07563301920890808}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.8330793976783752},{"id":"https://openalex.org/C115792997","wikidata":"https://www.wikidata.org/wiki/Q1439803","display_name":"Fouling","level":3,"score":0.7926522493362427},{"id":"https://openalex.org/C26826806","wikidata":"https://www.wikidata.org/wiki/Q438358","display_name":"Alternation (linguistics)","level":2,"score":0.6686949729919434},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6178483963012695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5547463297843933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5207026600837708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49036574363708496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42016738653182983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3526793122291565},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07563301920890808},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41625074","wikidata":"https://www.wikidata.org/wiki/Q176088","display_name":"Membrane","level":2,"score":0.0},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2005.1571323","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571323","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1919311727","https://openalex.org/W1994933245","https://openalex.org/W2146824157","https://openalex.org/W2158743808","https://openalex.org/W2167308461","https://openalex.org/W2171671647","https://openalex.org/W2364222658","https://openalex.org/W2533689096","https://openalex.org/W6640476664","https://openalex.org/W6728515189"],"related_works":["https://openalex.org/W258429745","https://openalex.org/W3161239248","https://openalex.org/W2561508161","https://openalex.org/W3195543079","https://openalex.org/W2098178683","https://openalex.org/W2604742737","https://openalex.org/W3021194804","https://openalex.org/W4386893202","https://openalex.org/W4388686419","https://openalex.org/W2545898164"],"abstract_inverted_index":{"For":[0],"on-line":[1],"measuring":[2],"the":[3,40,49,54,57,66,83,110,114,129,133,145,158,167,173],"periodic":[4,32],"fouling":[5,33,44,52,116,119,135,138,159],"resistance":[6,34],"in":[7,45,160],"recipe":[8,73,100,161],"alternation,":[9],"a":[10,74,86,93,153],"novel":[11],"soft-sensing":[12],"approach":[13],"based":[14],"on":[15,82],"FNN":[16,95,123],"(Fuzzy":[17,21],"Neural":[18],"Network),":[19],"FCM":[20,59,87],"c-means":[22],"clustering)":[23],"and":[24,48,70,91,117,136,150,166],"OED":[25,104,149],"(Orthogonal":[26],"Experimental":[27],"Design)":[28],"was":[29,61,89,102],"investigated.":[30],"The":[31,140,163],"is":[35,97,176],"modeled":[36],"by":[37],"two":[38],"parts:":[39],"increase":[41],"of":[42,56,132,147],"short-term":[43,118,134],"one":[46,79],"batch":[47],"long-term":[50,115,137],"irreversible":[51],"at":[53],"beginning":[55],"batch.":[58],"algorism":[60],"used":[62,106],"to":[63,78,99,107,127,156,169],"cluster":[64],"all":[65],"recipes":[67],"into":[68],"classes,":[69],"give":[71],"each":[72],"fuzzy":[75],"membership":[76,84],"belongs":[77],"class.":[80],"Based":[81],"matrix,":[85],"neuron":[88],"designed":[90],"accordingly":[92],"hybrid":[94],"that":[96],"robust":[98],"alternation":[101],"proposed.":[103],"were":[105],"select":[108],"out":[109],"key":[111],"parameters":[112],"influencing":[113],"respectively.":[120],"Two":[121],"Hybrid":[122],"networks":[124],"are":[125],"trained":[126],"learn":[128],"formation":[130],"trends":[131],"trend.":[139],"new":[141,174],"measurement":[142],"scheme":[143,175],"combines":[144],"advantages":[146],"FCM,":[148],"FNN,":[151],"have":[152],"good":[154],"performance":[155],"predict":[157],"alternation.":[162],"experimental":[164],"results":[165],"comparison":[168],"other":[170],"methods":[171],"show":[172],"effective.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}