{"id":"https://openalex.org/W2166297309","doi":"https://doi.org/10.1080/019697297126155","title":"SYNERGIES BETWEEN STATISTICAL DATA ANALYSIS AND NEURAL NETWORKS IN THE CONTROL OF ROTARY BLOOD PUMPS","display_name":"SYNERGIES BETWEEN STATISTICAL DATA ANALYSIS AND NEURAL NETWORKS IN THE CONTROL OF ROTARY BLOOD PUMPS","publication_year":1997,"publication_date":"1997-04-01","ids":{"openalex":"https://openalex.org/W2166297309","doi":"https://doi.org/10.1080/019697297126155","mag":"2166297309"},"language":"en","primary_location":{"id":"doi:10.1080/019697297126155","is_oa":false,"landing_page_url":"https://doi.org/10.1080/019697297126155","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":null,"display_name":"GEORG DORFFNER CHRISTIAN STOCKLMAYE","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"GEORG DORFFNER CHRISTIAN STOCKLMAYE","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.24419109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":"3","first_page":"215","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9901999831199646,"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":0.9901999831199646,"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":0.9818000197410583,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9801999926567078,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7465406656265259},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.7119559049606323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6869175434112549},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6289241313934326},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.49746158719062805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48629721999168396},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4684731066226959},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4461880922317505},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.39968761801719666},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38191676139831543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35110509395599365},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33355283737182617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15726709365844727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1255193054676056}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7465406656265259},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.7119559049606323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6869175434112549},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6289241313934326},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.49746158719062805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48629721999168396},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4684731066226959},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4461880922317505},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.39968761801719666},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38191676139831543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35110509395599365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33355283737182617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15726709365844727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1255193054676056},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/019697297126155","is_oa":false,"landing_page_url":"https://doi.org/10.1080/019697297126155","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/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2523437662","https://openalex.org/W3000407446","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456"],"abstract_inverted_index":{"In":[0,44],"this":[1],"paper":[2],"we":[3],"report":[4],"the":[5,16,23,30,41,81,84,91],"application":[6],"of":[7,18,25,32,38,83],"multilayer":[8],"perceptrons":[9],"MLPs":[10,52],"to":[11,46],"three":[12,92],"important":[13],"tasks":[14,49],"in":[15,40],"control":[17],"rotary":[19],"blood":[20],"pumps,":[21],"namely":[22],"estimation":[24],"left":[26,42],"atrium":[27],"pressure":[28],"and":[29],"indication":[31],"suction":[33],"as":[34,36,53,66,88],"well":[35],"danger":[37],"suction,":[39],"atrium.":[43],"order":[45],"select":[47],"those":[48],"for":[50,61,90],"which":[51],"nonlinear":[54],"classifiers":[55],"are":[56],"truly":[57],"appropriate,":[58],"conventional":[59],"techniques":[60],"statistical":[62],"data":[63],"analysis,":[64],"such":[65],"principal":[67],"component":[68],"analysis":[69],"PCA":[70],",":[71],"were":[72,86],"applied.":[73],"Eleven":[74],"parameters":[75],"derived":[76],"from":[77],"actual":[78],"measurements":[79],"during":[80],"performance":[82],"pump":[85],"available":[87],"input":[89],"tasks.":[93]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}