{"id":"https://openalex.org/W2917237312","doi":"https://doi.org/10.1007/978-3-030-11479-4_13","title":"Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning?","display_name":"Why Dose Layer-by-Layer Pre-training Improve Deep Neural Networks Learning?","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917237312","doi":"https://doi.org/10.1007/978-3-030-11479-4_13","mag":"2917237312"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-11479-4_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-11479-4_13","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","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/A5030409809","display_name":"Seyyede Zohreh Seyyedsalehi","orcid":null},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Seyyede Zohreh Seyyedsalehi","raw_affiliation_strings":["Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave., Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019816631","display_name":"Seyyed Ali Seyyedsalehi","orcid":"https://orcid.org/0000-0002-0902-4696"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyyed Ali Seyyedsalehi","raw_affiliation_strings":["Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave., Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave., Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030409809"],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.2756,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50569767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983000159263611,"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/T10057","display_name":"Face and Expression Recognition","score":0.9958999752998352,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.8076077103614807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185807228088379},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6680980920791626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495957374572754},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.629052996635437},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6290080547332764},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.608298659324646},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5829983949661255},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.564464271068573},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.4971359074115753},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.48239433765411377},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.47053417563438416},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46711429953575134},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4329517185688019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3862132728099823},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3321805000305176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16136446595191956},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05218029022216797}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8076077103614807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185807228088379},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6680980920791626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495957374572754},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.629052996635437},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6290080547332764},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.608298659324646},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5829983949661255},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.564464271068573},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.4971359074115753},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.48239433765411377},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.47053417563438416},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46711429953575134},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4329517185688019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3862132728099823},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3321805000305176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16136446595191956},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05218029022216797},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-11479-4_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-11479-4_13","pdf_url":null,"source":{"id":"https://openalex.org/S4210172046","display_name":"Smart innovation, systems and technologies","issn_l":"2190-3018","issn":["2190-3018","2190-3026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smart Innovation, Systems and Technologies","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W329631617","https://openalex.org/W1546200464","https://openalex.org/W1566413196","https://openalex.org/W1982768103","https://openalex.org/W2007795963","https://openalex.org/W2009272428","https://openalex.org/W2033337358","https://openalex.org/W2039139819","https://openalex.org/W2059136964","https://openalex.org/W2062574579","https://openalex.org/W2063756240","https://openalex.org/W2072128103","https://openalex.org/W2084146405","https://openalex.org/W2089947415","https://openalex.org/W2100495367","https://openalex.org/W2103560185","https://openalex.org/W2136922672","https://openalex.org/W2142971723","https://openalex.org/W2147768505","https://openalex.org/W2149329022","https://openalex.org/W2153125595","https://openalex.org/W2244385766","https://openalex.org/W2286631331","https://openalex.org/W2296748324","https://openalex.org/W2467101772","https://openalex.org/W2557283755","https://openalex.org/W2604343608","https://openalex.org/W2616728375","https://openalex.org/W2750796620","https://openalex.org/W2766854072","https://openalex.org/W2806024289","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W1535694475","https://openalex.org/W1558978786","https://openalex.org/W1965562977","https://openalex.org/W2135804779","https://openalex.org/W2093953062","https://openalex.org/W1554143855","https://openalex.org/W2071075850","https://openalex.org/W1889674915"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
