乐胖代购免代理版

{"id":"https://openalex.org/W4391892545","doi":"https://doi.org/10.1109/access.2024.3366703","title":"Identification and Expert Approach to Controlling the Cement Grinding Process Using Artificial Neural Networks and Other Non-Linear Models","display_name":"Identification and Expert Approach to Controlling the Cement Grinding Process Using Artificial Neural Networks and Other Non-Linear Models","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391892545","doi":"https://doi.org/10.1109/access.2024.3366703"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3366703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10438425.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10438425.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083844758","display_name":"Dawid Pawu\u015b","orcid":"https://orcid.org/0000-0003-3308-3474"},"institutions":[{"id":"https://openalex.org/I119217307","display_name":"Opole University of Technology","ror":"https://ror.org/05sj5k538","country_code":"PL","type":"education","lineage":["https://openalex.org/I119217307"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Dawid Pawu\u015b","raw_affiliation_strings":["Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland","institution_ids":["https://openalex.org/I119217307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057437879","display_name":"Szczepan Paszkiel","orcid":"https://orcid.org/0000-0002-4917-5712"},"institutions":[{"id":"https://openalex.org/I119217307","display_name":"Opole University of Technology","ror":"https://ror.org/05sj5k538","country_code":"PL","type":"education","lineage":["https://openalex.org/I119217307"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Szczepan Paszkiel","raw_affiliation_strings":["Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland","institution_ids":["https://openalex.org/I119217307"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850,"provenance":"doaj"},"fwci":6.494,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":6,"citation_normalized_percentile":{"value":0.999969,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"26364","last_page":"26383"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9456,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9456,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9203,"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/T13113","display_name":"Engineering Technology and Methodologies","score":0.9028,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/identification","display_name":"Identification","score":0.60979855}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.71922433},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.60979855},{"id":"https://openalex.org/C2777571299","wikidata":"https://www.wikidata.org/wiki/Q3680646","display_name":"Grinding","level":2,"score":0.6094431},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.5766919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.556453},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.536283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4830878},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3755803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22006834},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.11445132},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3366703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10438425.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3366703","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10438425.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":44,"referenced_works":["https://openalex.org/W2082365378","https://openalex.org/W2165449407","https://openalex.org/W2376158568","https://openalex.org/W2476621593","https://openalex.org/W2624871570","https://openalex.org/W2898712259","https://openalex.org/W2911925130","https://openalex.org/W2915373746","https://openalex.org/W2959730945","https://openalex.org/W2983461979","https://openalex.org/W3005264862","https://openalex.org/W3008348540","https://openalex.org/W3009641887","https://openalex.org/W3015921997","https://openalex.org/W3032276309","https://openalex.org/W3037619791","https://openalex.org/W3038580142","https://openalex.org/W3044894901","https://openalex.org/W3048853486","https://openalex.org/W3080427797","https://openalex.org/W3081872580","https://openalex.org/W3090809839","https://openalex.org/W3092033494","https://openalex.org/W3113143834","https://openalex.org/W3118752320","https://openalex.org/W3159652818","https://openalex.org/W3188276859","https://openalex.org/W3194668998","https://openalex.org/W3205376315","https://openalex.org/W3216748091","https://openalex.org/W4205452178","https://openalex.org/W4206233117","https://openalex.org/W4213274191","https://openalex.org/W4223890494","https://openalex.org/W4249924554","https://openalex.org/W4280554359","https://openalex.org/W4281778560","https://openalex.org/W4284671012","https://openalex.org/W4297973731","https://openalex.org/W4304891685","https://openalex.org/W4306362396","https://openalex.org/W4313147376","https://openalex.org/W4320517758","https://openalex.org/W4385566789"],"related_works":["https://openalex.org/W4310396753","https://openalex.org/W4249574933","https://openalex.org/W2891601994","https://openalex.org/W2794371967","https://openalex.org/W2558687676","https://openalex.org/W2388159328","https://openalex.org/W2376458274","https://openalex.org/W2373143343","https://openalex.org/W2328522647","https://openalex.org/W2055172913"],"abstract_inverted_index":{"The":[0,30,126],"paper":[1],"involved":[2],"conducting":[3],"preliminary":[4],"research":[5,107],"to":[6,34,85,124,137],"explore":[7],"the":[8,42,45,86,89,97,100,109,135,139],"identification":[9],"and":[10,16,25,62,74,128,142],"control":[11,122],"of":[12,44,99,105,111,130,144],"a":[13,36,112,132],"multi-dimensional,":[14],"non-linear,":[15],"non-stationary":[17],"cement":[18,145],"grinding":[19,46,146],"process":[20,147],"using":[21],"artificial":[22],"neural":[23],"networks":[24],"various":[26],"other":[27],"non-linear":[28,77,90],"models.":[29,78],"primary":[31],"objective":[32],"was":[33,80],"establish":[35],"precise":[37],"model":[38,49],"that":[39],"accurately":[40],"characterizes":[41],"functioning":[43,114],"system.":[47,101],"Several":[48],"structures":[50],"were":[51],"employed,":[52],"including":[53],"NARX":[54,76],"models":[55,91],"based":[56],"on":[57],"feed-forward":[58],"network,":[59],"Elman,":[60],"Jordan,":[61],"Layer-Recurrent":[63],"Network":[64],"(LRN)":[65],"recurrent":[66],"networks,":[67],"as":[68,70,115],"well":[69],"MTL":[71],"(Multi-Task":[72],"Learning)":[73],"traditional":[75],"It":[79],"observed":[81],"that,":[82],"in":[83,96],"contrast":[84],"linear":[87],"models,":[88],"exhibited":[92],"significantly":[93],"superior":[94],"performance":[95],"modeling":[98],"Another":[102],"notable":[103],"outcome":[104],"this":[106],"is":[108],"proposal":[110],"neurocontroller,":[113],"an":[116],"expert":[117],"system,":[118],"which":[119],"can":[120],"provide":[121],"signals":[123],"operators.":[125],"development":[127],"implementation":[129],"such":[131],"neurocontroller":[133],"have":[134],"potential":[136],"enhance":[138],"quality,":[140],"simplicity,":[141],"efficiency":[143],"control.":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391892545","counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2025-01-07T23:01:47.519223","created_date":"2024-02-17"}