{"id":"https://openalex.org/W1976022425","doi":"https://doi.org/10.1080/01969720050192045","title":"DESIGN OF SUPERVISORY CONTROL FUNCTIONS BASED ON FEEDFORWARD NEURAL NETWORKS","display_name":"DESIGN OF SUPERVISORY CONTROL FUNCTIONS BASED ON FEEDFORWARD NEURAL NETWORKS","publication_year":2000,"publication_date":"2000-10-01","ids":{"openalex":"https://openalex.org/W1976022425","doi":"https://doi.org/10.1080/01969720050192045","mag":"1976022425"},"language":"en","primary_location":{"id":"doi:10.1080/01969720050192045","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192045","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-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/A5070201334","display_name":"Dragan Kukolj","orcid":"https://orcid.org/0000-0003-0711-0168"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dragan Kukolj","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070201334"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10550858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":"7","first_page":"749","last_page":"761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9646000266075134,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9595999717712402,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T13045","display_name":"Industrial Engineering and Technologies","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8123824596405029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7525601387023926},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6906291842460632},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6302127838134766},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5981602072715759},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.5771411657333374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5511705875396729},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.5288064479827881},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5045548677444458},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4640359878540039},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4564324915409088},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4480757713317871},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4163247346878052},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38525068759918213},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.24921965599060059},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16144078969955444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10307270288467407},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10271143913269043},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06728574633598328}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8123824596405029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7525601387023926},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6906291842460632},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6302127838134766},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5981602072715759},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.5771411657333374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5511705875396729},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.5288064479827881},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5045548677444458},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4640359878540039},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4564324915409088},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4480757713317871},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4163247346878052},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38525068759918213},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.24921965599060059},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16144078969955444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10307270288467407},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10271143913269043},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06728574633598328},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/01969720050192045","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720050192045","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1595652908","https://openalex.org/W2014323024","https://openalex.org/W2089093251","https://openalex.org/W2950022897","https://openalex.org/W2104714048","https://openalex.org/W2390775476","https://openalex.org/W2950917560","https://openalex.org/W2186233897","https://openalex.org/W2785001934","https://openalex.org/W2408618716"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,6,23,36,58,62],"results":[4],"of":[5,10,30,35,57,67,76],"research":[7],"concerning":[8],"possibilities":[9],"applying":[11],"artificial":[12],"neural":[13,38,49,77],"networks":[14,39,78],"for":[15],"fault":[16],"diagnosis,":[17],"state":[18,53],"estimation,":[19],"and":[20,64],"prediction":[21],"in":[22],"gas":[24],"pipeline":[25],"transmission":[26],"network.":[27],"The":[28,44,55],"influence":[29],"several":[31],"factors":[32],"on":[33,48],"accuracy":[34],"feedforward":[37],"so":[40],"applied":[41],"was":[42,46],"considered.":[43],"emphasis":[45],"put":[47],"network's":[50],"function":[51],"as":[52,71,73],"estimator.":[54],"choice":[56],"most":[59],"informative":[60],"features,":[61],"amount":[63],"sampling":[65],"period":[66],"training":[68],"data":[69],"sets,":[70],"well":[72],"different":[74],"configurations":[75],"were":[79],"analyzed.":[80]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}