{"id":"https://openalex.org/W4200327664","doi":"https://doi.org/10.1088/1742-6596/2131/3/032003","title":"Method of creation of a two-level neural network structure for solving problems in mechanical engineering","display_name":"Method of creation of a two-level neural network structure for solving problems in mechanical engineering","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200327664","doi":"https://doi.org/10.1088/1742-6596/2131/3/032003"},"language":"en","primary_location":{"id":"doi:10.1088/1742-6596/2131/3/032003","doi":"https://doi.org/10.1088/1742-6596/2131/3/032003","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2131/3/032003","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2131/3/032003/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"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 Physics: Conference Series","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4200327664"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2131/3/032003/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"A Volkov","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"A Volkov","raw_affiliation_strings":["Bauman Moscow State Technical University (BMSTU), 5, 2-nd Baumanskaya, Moscow, 105005, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University (BMSTU), 5, 2-nd Baumanskaya, Moscow, 105005, Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042603602","display_name":"Oleg Olegovich Varlamov","orcid":"https://orcid.org/0000-0002-2858-1383","observed_orcids":["https://orcid.org/0000-0002-2858-1383"]},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]},{"id":"https://openalex.org/I4210113879","display_name":"Moscow Automobile and Road Construction State Technical University","ror":"https://ror.org/0257qw677","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210113879"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"O Varlamov","raw_affiliation_strings":["Bauman Moscow State Technical University (BMSTU), 5, 2-nd Baumanskaya, Moscow, 105005, Russia","Moscow Automobile and Road Construction State Technical University (MADI), 64 Leningradsky ave., Moscow, 125319, Russia","Russian Federal Nuclear Center All-Russian Research Institute of Experimental Physics (VNIIEF), 37 Mira Ave, Sarov, Nizhny Novgorod region, 607188, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University (BMSTU), 5, 2-nd Baumanskaya, Moscow, 105005, Russia","institution_ids":["https://openalex.org/I177537411"]},{"raw_affiliation_string":"Moscow Automobile and Road Construction State Technical University (MADI), 64 Leningradsky ave., Moscow, 125319, Russia","institution_ids":["https://openalex.org/I4210113879"]},{"raw_affiliation_string":"Russian Federal Nuclear Center All-Russian Research Institute of Experimental Physics (VNIIEF), 37 Mira Ave, Sarov, Nizhny Novgorod region, 607188, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3053,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83102843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"2131","issue":"3","first_page":"032003","last_page":"032003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6855000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.6855000257492065,"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"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.09809999912977219,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.04149999842047691,"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/neural-network-classifier","display_name":"neural network classifier","score":0.5960000157356262},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.6389999985694885},{"id":"https://openalex.org/keywords/mechanical-engineering-applications","display_name":"mechanical engineering applications","score":0.8240000009536743},{"id":"https://openalex.org/keywords/process-monitoring","display_name":"process monitoring","score":0.6050000190734863},{"id":"https://openalex.org/keywords/equipment-quality-control","display_name":"equipment quality control","score":0.7649999856948853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502951622009277},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6792784333229065},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6197472810745239},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4833909571170807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46242326498031616},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.45184823870658875},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4375857412815094},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.41973596811294556},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35347703099250793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3252708315849304},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13847759366035461},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09684541821479797}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1742-6596/2131/3/032003","doi":"https://doi.org/10.1088/1742-6596/2131/3/032003","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2131/3/032003","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2131/3/032003/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"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 Physics: Conference Series","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1742-6596/2131/3/032003","doi":"https://doi.org/10.1088/1742-6596/2131/3/032003","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/2131/3/032003","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/2131/3/032003/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"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 Physics: Conference Series","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200327664.pdf","grobid_xml":"https://content.openalex.org/works/W4200327664.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W28846904","https://openalex.org/W2004554503","https://openalex.org/W2073787051","https://openalex.org/W2082985613","https://openalex.org/W2122121024","https://openalex.org/W2150884987","https://openalex.org/W2324643059","https://openalex.org/W2464669661","https://openalex.org/W2604268533","https://openalex.org/W2803867698","https://openalex.org/W2807421490","https://openalex.org/W2884159461","https://openalex.org/W2895733819","https://openalex.org/W2905463381","https://openalex.org/W2919722593","https://openalex.org/W2980156380","https://openalex.org/W2995620870","https://openalex.org/W3009392227","https://openalex.org/W3010868997","https://openalex.org/W3012037041","https://openalex.org/W3012080808","https://openalex.org/W3022868521","https://openalex.org/W3029136751","https://openalex.org/W3029858261","https://openalex.org/W3036037642","https://openalex.org/W3139380604","https://openalex.org/W3140854437","https://openalex.org/W3159341278","https://openalex.org/W4205947740"],"related_works":["https://openalex.org/W7095814335","https://openalex.org/W2270282863","https://openalex.org/W7070465812","https://openalex.org/W151776937","https://openalex.org/W2122121024","https://openalex.org/W3094234250","https://openalex.org/W2587608280","https://openalex.org/W7095990104","https://openalex.org/W7039148253","https://openalex.org/W2958042775"],"abstract_inverted_index":{"Abstract":[0],"There":[1],"is":[2,99,162,205,221,273],"an":[3,208],"industrial":[4,36],"trend":[5],"of":[6,10,15,20,23,35,53,61,71,79,91,93,106,116,129,135,188,193,200,210,217,247,267,280],"increasing":[7],"technological":[8],"effectiveness":[9],"production":[11],"and":[12,33,43,66,73,77,83,140,156,184,207],"growing":[13],"autonomy":[14],"factories,":[16],"resulting":[17],"in":[18,119,172,196,230],"generation":[19],"huge":[21],"amounts":[22],"raw":[24],"data":[25,40,55,117,158],"that":[26,253],"can":[27,241],"be":[28,242],"used":[29,118,243],"to":[30,102,164,168,178],"improve":[31],"efficiency":[32],"continuity":[34],"plants":[37],"operation.":[38],"Big":[39],"collection,":[41],"processing":[42],"analysis":[44,204],"technologies":[45],"are":[46,234],"already":[47],"being":[48],"actively":[49],"implemented.":[50],"Further":[51],"use":[52,165],"big":[54],"will":[56],"help":[57],"with":[58,261],"a":[59,94,104,245,268,274],"variety":[60],"tasks,":[62],"such":[63],"as":[64,244,265],"optimization":[65],"process":[67],"monitoring,":[68],"quality":[69],"control":[70],"equipment":[72],"produced":[74],"parts,":[75],"modeling":[76],"forecasting":[78],"the":[80,120,132,136,141,152,157,166,186,194,198,211,218,226,238,248,278],"facility":[81],"operation":[82],"other":[84],"mechanical":[85,173,231,284],"engineering":[86,232],"challenges.":[87],"A":[88],"new":[89,180],"method":[90,125,167,176,195,229,240],"creation":[92],"two-level":[95,219,227],"neural":[96,111,137,147,181,259],"network":[97,138,148,182],"structure":[98,220,228],"proposed,":[100],"designed":[101],"solve":[103,169],"number":[105],"problems":[107,171],"by":[108],"training":[109],"individual":[110],"networks":[112,260],"for":[113,225,277,283],"each":[114],"subset":[115],"task":[121],"at":[122],"hand.":[123],"This":[124],"combines":[126],"two":[127],"levels":[128],"information":[130,251,271],"processing:":[131],"first":[133],"level":[134],"classifier":[139],"second":[142],"level,":[143],"which":[144],"includes":[145,254],"several":[146],"analyzers.":[149],"Depending":[150],"on":[151],"specific":[153],"subject":[154],"area":[155],"sets":[159],"available,":[160],"it":[161],"possible":[163],"various":[170],"engineering.":[174,285],"The":[175,190],"allows":[177],"add":[179],"analyzers":[183],"expand":[185],"scope":[187],"application.":[189],"practical":[191],"application":[192],"solving":[197],"problem":[199],"text":[201],"message":[202],"sentiment":[203],"shown":[206],"example":[209],"Python":[212],"programming":[213],"language":[214],"software":[215],"implementation":[216],"given.":[222],"Use":[223],"cases":[224],"tasks":[233],"proposed.":[235],"In":[236],"addition,":[237],"proposed":[239],"part":[246,266],"hybrid":[249,269],"intelligent":[250,270],"system":[252,272],"mivar":[255,262],"expert":[256,263],"systems.":[257],"Combining":[258],"systems":[264],"promising":[275],"direction":[276],"development":[279],"artificial":[281],"intelligence":[282]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2021-12-31T00:00:00"}