{"id":"https://openalex.org/W2555914263","doi":"https://doi.org/10.1109/ijcnn.2016.7727226","title":"A systematic algorithm to escape from local minima in training feed-forward neural networks","display_name":"A systematic algorithm to escape from local minima in training feed-forward neural networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2555914263","doi":"https://doi.org/10.1109/ijcnn.2016.7727226","mag":"2555914263"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107265/1/Cheung_Systematic_Algorithm_Escape.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103417455","display_name":"Chi-Chung Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Chi-Chung Cheung","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059023760","display_name":"Sean Shensheng Xu","orcid":"https://orcid.org/0000-0001-8846-5061"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sean Shensheng Xu","raw_affiliation_strings":["Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037222502","display_name":"Sin-Chun Ng","orcid":"https://orcid.org/0000-0002-2972-530X"},"institutions":[{"id":"https://openalex.org/I8679417","display_name":"Hong Kong Metropolitan University","ror":"https://ror.org/0349bsm71","country_code":"HK","type":"education","lineage":["https://openalex.org/I8679417"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sin-Chun Ng","raw_affiliation_strings":["School of Science and Technology, The Open University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, The Open University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103417455"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08284832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"220","issue":null,"first_page":"396","last_page":"402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.9478052258491516},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.761066198348999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013242840766907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6592690944671631},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6517833471298218},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5904499292373657},{"id":"https://openalex.org/keywords/early-stopping","display_name":"Early stopping","score":0.5674476623535156},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5534180998802185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48366913199424744},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.43874457478523254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38003450632095337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18011978268623352}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.9478052258491516},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.761066198348999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013242840766907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6592690944671631},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6517833471298218},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5904499292373657},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.5674476623535156},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5534180998802185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48366913199424744},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.43874457478523254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38003450632095337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18011978268623352},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107265","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107265","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107265/1/Cheung_Systematic_Algorithm_Escape.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/66230","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/66230","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/107265","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/107265","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/107265/1/Cheung_Systematic_Algorithm_Escape.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2555914263.pdf","grobid_xml":"https://content.openalex.org/works/W2555914263.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1883277274","https://openalex.org/W1993307090","https://openalex.org/W2022306346","https://openalex.org/W2022740958","https://openalex.org/W2024060531","https://openalex.org/W2026624453","https://openalex.org/W2033137841","https://openalex.org/W2040647667","https://openalex.org/W2044953748","https://openalex.org/W2046042921","https://openalex.org/W2051984686","https://openalex.org/W2081808304","https://openalex.org/W2087836750","https://openalex.org/W2095657833","https://openalex.org/W2104974239","https://openalex.org/W2106688677","https://openalex.org/W2109530046","https://openalex.org/W2111072639","https://openalex.org/W2115937354","https://openalex.org/W2124653173","https://openalex.org/W2133170554","https://openalex.org/W2143908786","https://openalex.org/W2155482699","https://openalex.org/W2162872550","https://openalex.org/W2766736793","https://openalex.org/W3121126077","https://openalex.org/W4230115272","https://openalex.org/W4242209908","https://openalex.org/W6682610290","https://openalex.org/W6788743950","https://openalex.org/W6884921023"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W973676589","https://openalex.org/W2377087609","https://openalex.org/W1812866462","https://openalex.org/W1953410804","https://openalex.org/W2154980374","https://openalex.org/W4283332751","https://openalex.org/W2555914263","https://openalex.org/W2141403321","https://openalex.org/W4367060723"],"abstract_inverted_index":{"A":[0],"learning":[1,28,54,102],"process":[2,29],"is":[3,46,86,111,130],"easily":[4],"trapped":[5],"into":[6],"a":[7,27,56,62,96],"local":[8,32,41,106],"minimum":[9,42],"when":[10,79,123],"training":[11,85,129],"multi-layer":[12],"feed-forward":[13],"neural":[14],"networks.":[15],"An":[16],"algorithm":[17,75,98,122],"called":[18],"Wrong":[19],"Output":[20],"Modification":[21],"(WOM)":[22],"was":[23,76],"proposed":[24],"to":[25,50,61,99],"help":[26],"escape":[30,104],"from":[31,105],"minima,":[33,107],"but":[34],"WOM":[35],"still":[36],"cannot":[37],"totally":[38],"solve":[39],"the":[40,53,70,80,101,116,124],"problem.":[43],"Moreover,":[44],"there":[45],"no":[47],"performance":[48,72,110,118],"analysis":[49],"show":[51],"that":[52],"has":[55],"higher":[57],"probability":[58],"of":[59,73,84,92,119,128],"converging":[60],"global":[63],"solution":[64],"by":[65],"using":[66],"this":[67,74,120],"algorithm.":[68],"Additionally,":[69],"generalization":[71,117],"not":[77],"investigated":[78],"early":[81,125],"stopping":[82,126],"method":[83,127],"applied.":[87,131],"Based":[88],"on":[89],"these":[90],"limitations":[91],"WOM,":[93],"we":[94],"propose":[95],"new":[97,121],"ensure":[100],"can":[103],"and":[108],"its":[109],"analyzed.":[112],"We":[113],"also":[114],"test":[115]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
