{"id":"https://openalex.org/W1772605559","doi":"https://doi.org/10.1109/sbrn.2002.1181434","title":"Constructive and pruning methods for neural network design","display_name":"Constructive and pruning methods for neural network design","publication_year":2003,"publication_date":"2003-06-26","ids":{"openalex":"https://openalex.org/W1772605559","doi":"https://doi.org/10.1109/sbrn.2002.1181434","mag":"1772605559"},"language":"en","primary_location":{"id":"doi:10.1109/sbrn.2002.1181434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbrn.2002.1181434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","raw_type":"proceedings-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/A5000666730","display_name":"Marcelo Azevedo Costa","orcid":"https://orcid.org/0000-0002-2330-5056"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]},{"id":"https://openalex.org/I3018999404","display_name":"Centro Universit\u00e1rio de Belo Horizonte","ror":"https://ror.org/04m3xd186","country_code":"BR","type":"education","lineage":["https://openalex.org/I3018999404"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"M.A. Costa","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I3018999404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032262231","display_name":"Ant\u00f4nio P. Braga","orcid":"https://orcid.org/0000-0002-9007-0920"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]},{"id":"https://openalex.org/I3018999404","display_name":"Centro Universit\u00e1rio de Belo Horizonte","ror":"https://ror.org/04m3xd186","country_code":"BR","type":"education","lineage":["https://openalex.org/I3018999404"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"A.P. Braga","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I3018999404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113782643","display_name":"B.R. Menezes","orcid":null},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]},{"id":"https://openalex.org/I3018999404","display_name":"Centro Universit\u00e1rio de Belo Horizonte","ror":"https://ror.org/04m3xd186","country_code":"BR","type":"education","lineage":["https://openalex.org/I3018999404"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"B.R. de Menezes","raw_affiliation_strings":["Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I110200422"]},{"raw_affiliation_string":"Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil","institution_ids":["https://openalex.org/I3018999404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000666730"],"corresponding_institution_ids":["https://openalex.org/I110200422","https://openalex.org/I3018999404"],"apc_list":null,"apc_paid":null,"fwci":1.3708,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83849605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","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/T10320","display_name":"Neural Networks and Applications","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/T10057","display_name":"Face and Expression Recognition","score":0.9891999959945679,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.7902113199234009},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7871559858322144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.737339198589325},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7062501907348633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6182180643081665},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.600536584854126},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5573402047157288},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5273787975311279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5113803744316101},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.43852970004081726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4300587773323059},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3906041085720062},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24348220229148865},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.14390850067138672}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7902113199234009},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7871559858322144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.737339198589325},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7062501907348633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6182180643081665},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.600536584854126},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5573402047157288},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5273787975311279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5113803744316101},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.43852970004081726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4300587773323059},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3906041085720062},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24348220229148865},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.14390850067138672},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sbrn.2002.1181434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sbrn.2002.1181434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"VII Brazilian Symposium on Neural Networks, 2002. SBRN 2002. Proceedings.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2044861997","https://openalex.org/W2076118331","https://openalex.org/W2084812512","https://openalex.org/W2109779438","https://openalex.org/W2112081648","https://openalex.org/W2114766824","https://openalex.org/W2119821739","https://openalex.org/W2124776405","https://openalex.org/W2125389748","https://openalex.org/W2145085734","https://openalex.org/W2285257517","https://openalex.org/W4239510810","https://openalex.org/W6676553272","https://openalex.org/W6677088547","https://openalex.org/W6678583879"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"methods":[3],"to":[4,35,42],"improve":[5],"generalization":[6],"of":[7],"multilayer":[8],"perceptron":[9],"(MLP)":[10],"by":[11],"pruning":[12],"the":[13],"original":[14],"topology":[15,40],"without":[16],"loss":[17],"in":[18],"performance.":[19],"Topology":[20],"information":[21],"and":[22,41],"validation":[23],"sets":[24],"are":[25,33],"used.":[26],"The":[27],"results":[28],"show":[29],"that":[30],"these":[31],"techniques":[32],"able":[34],"choose":[36],"a":[37],"minimum":[38],"network":[39],"simplify":[43],"trained":[44],"networks.":[45]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
