{"id":"https://openalex.org/W2010148906","doi":"https://doi.org/10.1016/0893-6080(94)90026-4","title":"What size network is good for generalization of a specific task of interest?","display_name":"What size network is good for generalization of a specific task of interest?","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2010148906","doi":"https://doi.org/10.1016/0893-6080(94)90026-4","mag":"2010148906"},"language":"en","primary_location":{"id":"doi:10.1016/0893-6080(94)90026-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0893-6080(94)90026-4","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","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":"https://openalex.org/A5103083957","display_name":"Bagrat Amirikian","orcid":"https://orcid.org/0000-0001-8080-0902"},"institutions":[{"id":"https://openalex.org/I4210131892","display_name":"Institute of Molecular Genetics","ror":"https://ror.org/03apz2q12","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I4210129690","https://openalex.org/I4210131892"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP","RU"],"is_corresponding":true,"raw_author_name":"Bagrat Amirikian","raw_affiliation_strings":["Institute of Molecular Genetics of the Russian Academy of Sciences Russia","University of Tokyo Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Molecular Genetics of the Russian Academy of Sciences Russia","institution_ids":["https://openalex.org/I4210131892"]},{"raw_affiliation_string":"University of Tokyo Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108422238","display_name":"Hajime Nishimura","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hajime Nishimura","raw_affiliation_strings":["University of Tokyo Japan","University of Tokyo, , Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tokyo Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"University of Tokyo, , Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103083957"],"corresponding_institution_ids":["https://openalex.org/I4210131892","https://openalex.org/I74801974"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":null,"fwci":4.52,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94492678,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"2","first_page":"321","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9908999800682068,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/generalization","display_name":"Generalization","score":0.7519469261169434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390137314796448},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.608587920665741},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5038601756095886},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.4890797734260559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4845687448978424},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4727381467819214},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.46693912148475647},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46193161606788635},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45558199286460876},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.4298754930496216},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4139117896556854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36597299575805664},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31666141748428345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23130038380622864},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.13609951734542847},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.13086864352226257},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.0805395245552063}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7519469261169434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390137314796448},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.608587920665741},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5038601756095886},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.4890797734260559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4845687448978424},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4727381467819214},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.46693912148475647},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46193161606788635},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45558199286460876},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.4298754930496216},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4139117896556854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36597299575805664},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31666141748428345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23130038380622864},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.13609951734542847},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.13086864352226257},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0805395245552063},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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:10.1016/0893-6080(94)90026-4","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0893-6080(94)90026-4","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W56903235","https://openalex.org/W1978923178","https://openalex.org/W1983755491","https://openalex.org/W1989460402","https://openalex.org/W1989508250","https://openalex.org/W1994592916","https://openalex.org/W2019363670","https://openalex.org/W2029538739","https://openalex.org/W2046946551","https://openalex.org/W2060263093","https://openalex.org/W2063961549","https://openalex.org/W2118649542","https://openalex.org/W2145513251","https://openalex.org/W2153988646","https://openalex.org/W2154952480","https://openalex.org/W2161278885","https://openalex.org/W2165758113","https://openalex.org/W2405568875","https://openalex.org/W2912633461","https://openalex.org/W4238284510","https://openalex.org/W4238893454","https://openalex.org/W6602333299","https://openalex.org/W6646054477","https://openalex.org/W6649271429","https://openalex.org/W6681315040","https://openalex.org/W6713704536"],"related_works":["https://openalex.org/W108845024","https://openalex.org/W4300125793","https://openalex.org/W2578985712","https://openalex.org/W2406961474","https://openalex.org/W2143566611","https://openalex.org/W588267724","https://openalex.org/W2057205169","https://openalex.org/W4297743441","https://openalex.org/W2952598754","https://openalex.org/W2026779193"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}