{"id":"https://openalex.org/W2025987062","doi":"https://doi.org/10.1109/icmlc.2010.5580852","title":"A new approach to improving generalization ability of feed-foward neural networks","display_name":"A new approach to improving generalization ability of feed-foward neural networks","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2025987062","doi":"https://doi.org/10.1109/icmlc.2010.5580852","mag":"2025987062"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2010.5580852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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/A5064830115","display_name":"Qiang Hua","orcid":"https://orcid.org/0000-0001-9017-0043"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Hua","raw_affiliation_strings":["Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","Machine Learning Center, College of Mathematics and Computer Science, Hebei University"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112116647","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0001-9326-9292"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Gao","raw_affiliation_strings":["Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","Machine Learning Center, College of Mathematics and Computer Science, Hebei University"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Zhao Wang","raw_affiliation_strings":["Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","Machine Learning Center, College of Mathematics and Computer Science, Hebei University"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012578913","display_name":"Bo-Yi Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Yi Zhao","raw_affiliation_strings":["Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","Machine Learning Center, College of Mathematics and Computer Science, Hebei University"],"affiliations":[{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Machine Learning Center, College of Mathematics and Computer Science, Hebei University","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064830115"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10005867,"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":"1413","last_page":"1419"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9973000288009644,"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/T12676","display_name":"Machine Learning and ELM","score":0.9952999949455261,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6799063682556152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055780649185181},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5773385167121887},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5509966611862183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5480542182922363},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5007739067077637},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4456353187561035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38246914744377136},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33980900049209595},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3076947331428528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2616714835166931}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6799063682556152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055780649185181},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5773385167121887},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5509966611862183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5480542182922363},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5007739067077637},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4456353187561035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38246914744377136},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33980900049209595},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3076947331428528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2616714835166931},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2010.5580852","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2010.5580852","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Machine Learning and Cybernetics","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":20,"referenced_works":["https://openalex.org/W1489213086","https://openalex.org/W1554663460","https://openalex.org/W1973631422","https://openalex.org/W1981494355","https://openalex.org/W1995875735","https://openalex.org/W2100128988","https://openalex.org/W2109530046","https://openalex.org/W2142100971","https://openalex.org/W2142544077","https://openalex.org/W2147299889","https://openalex.org/W2151023586","https://openalex.org/W2155482699","https://openalex.org/W2170263663","https://openalex.org/W2368273117","https://openalex.org/W4230030242","https://openalex.org/W4236966694","https://openalex.org/W4244471710","https://openalex.org/W4388297464","https://openalex.org/W6680957084","https://openalex.org/W6681810819"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W2994927414"],"abstract_inverted_index":{"In":[0,56],"order":[1],"to":[2,66],"improve":[3],"the":[4,37,41,46,49,53,62,67,72,78,90,96,107],"generalization":[5,91],"ability":[6,92],"of":[7,15,31,64,82,93],"feed-forward":[8],"neural":[9,83],"networks,":[10],"a":[11],"new":[12,79],"objective":[13,27],"function":[14,28],"learning":[16,80,104],"procedure":[17],"for":[18],"training":[19,69],"single":[20],"hidden":[21],"layer":[22],"network":[23,68],"is":[24,29,36,48,99],"proposed.":[25],"This":[26],"composed":[30],"two":[32],"information":[33],"entropy,":[34],"one":[35],"cross":[38],"entropy":[39,51,65],"as":[40,52],"main":[42],"optimization":[43],"term":[44],"and":[45],"other":[47,102],"fuzzy":[50],"regularization":[54,73],"term.":[55],"this":[57],"paper,":[58],"we":[59],"are":[60],"fused":[61],"concept":[63],"process":[70],"by":[71,95],"method.":[74],"We":[75],"also":[76],"derive":[77],"rule":[81],"network.":[84],"Our":[85],"experimental":[86],"results":[87],"show":[88],"that":[89],"networks":[94],"proposed":[97],"algorithm":[98],"better":[100],"than":[101],"well-known":[103],"methods":[105],"in":[106],"same":[108],"time":[109],"complexity.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
