{"id":"https://openalex.org/W2952901735","doi":"https://doi.org/10.1007/978-3-030-20485-3_18","title":"Determining Optimal Multi-layer Perceptron Structure Using Linear Regression","display_name":"Determining Optimal Multi-layer Perceptron Structure Using Linear Regression","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952901735","doi":"https://doi.org/10.1007/978-3-030-20485-3_18","mag":"2952901735"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-20485-3_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20485-3_18","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","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/A5016608181","display_name":"Mohamed Lafif Tej","orcid":null},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Mohamed Lafif Tej","raw_affiliation_strings":["Faculty of Automation and Computers, Politehnica University of Timisoara, Timisoara, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Automation and Computers, Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042610306","display_name":"\u015etefan Holban","orcid":"https://orcid.org/0009-0001-7427-2311"},"institutions":[{"id":"https://openalex.org/I3122695212","display_name":"Polytechnic University of Timi\u015foara","ror":"https://ror.org/02v91gy68","country_code":"RO","type":"education","lineage":["https://openalex.org/I3122695212"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Stefan Holban","raw_affiliation_strings":["Faculty of Automation and Computers, Politehnica University of Timisoara, Timisoara, Romania"],"affiliations":[{"raw_affiliation_string":"Faculty of Automation and Computers, Politehnica University of Timisoara, Timisoara, Romania","institution_ids":["https://openalex.org/I3122695212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016608181"],"corresponding_institution_ids":["https://openalex.org/I3122695212"],"apc_list":null,"apc_paid":null,"fwci":1.1025,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79994186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T11309","display_name":"Music and Audio Processing","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/perceptron","display_name":"Perceptron","score":0.610884964466095},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5412570834159851},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.48118430376052856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4642772078514099},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43863046169281006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3621995449066162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34931397438049316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3431012034416199},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28899040818214417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.20420348644256592},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17756745219230652},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1621207594871521},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.03848579525947571}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.610884964466095},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5412570834159851},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.48118430376052856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4642772078514099},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43863046169281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3621995449066162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34931397438049316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3431012034416199},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28899040818214417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20420348644256592},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17756745219230652},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1621207594871521},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.03848579525947571}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-20485-3_18","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-20485-3_18","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W566252697","https://openalex.org/W1501429445","https://openalex.org/W1531910981","https://openalex.org/W1566763778","https://openalex.org/W1621450212","https://openalex.org/W1663973292","https://openalex.org/W1823350575","https://openalex.org/W1955600018","https://openalex.org/W1972567154","https://openalex.org/W1979171603","https://openalex.org/W1987366756","https://openalex.org/W2009086942","https://openalex.org/W2013882703","https://openalex.org/W2025979508","https://openalex.org/W2029869759","https://openalex.org/W2044210752","https://openalex.org/W2044958951","https://openalex.org/W2075117036","https://openalex.org/W2094510831","https://openalex.org/W2097486709","https://openalex.org/W2122555177","https://openalex.org/W2135760566","https://openalex.org/W2137356002","https://openalex.org/W2141585940","https://openalex.org/W2146594455","https://openalex.org/W2156247618","https://openalex.org/W2158703410","https://openalex.org/W2159401492","https://openalex.org/W2171832470","https://openalex.org/W2219695809","https://openalex.org/W2294032618","https://openalex.org/W2552737632","https://openalex.org/W2592974517","https://openalex.org/W2767399779","https://openalex.org/W2954442338","https://openalex.org/W4235145261","https://openalex.org/W4240053199","https://openalex.org/W4285719527","https://openalex.org/W4298359570","https://openalex.org/W4301522255"],"related_works":["https://openalex.org/W3106494386","https://openalex.org/W2405544437","https://openalex.org/W2203557590","https://openalex.org/W4221160179","https://openalex.org/W1902766772","https://openalex.org/W4220672327","https://openalex.org/W2338394561","https://openalex.org/W2078674814","https://openalex.org/W3021094884","https://openalex.org/W2086134489"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
