{"id":"https://openalex.org/W1666485427","doi":"https://doi.org/10.1109/ijcnn.2003.1223698","title":"Fast convergence for backpropagation network with magnified gradient function","display_name":"Fast convergence for backpropagation network with magnified gradient function","publication_year":2004,"publication_date":"2004-03-23","ids":{"openalex":"https://openalex.org/W1666485427","doi":"https://doi.org/10.1109/ijcnn.2003.1223698","mag":"1666485427"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1223698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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/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":true,"raw_author_name":"S.C. Ng","raw_affiliation_strings":["School of Science & Tech, Open University, HK, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science & Tech, Open University, HK, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102091036","display_name":"C.C. Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"C.C. Cheung","raw_affiliation_strings":["Department of Computer Engineering & Information Tech, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering & Information Tech, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011680578","display_name":"S.H. Leung","orcid":"https://orcid.org/0000-0003-2059-120X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"S.H. Leung","raw_affiliation_strings":["Department of Electronic Eng, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Eng, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053329533","display_name":"A. Luk","orcid":"https://orcid.org/0000-0001-8404-4630"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Luk","raw_affiliation_strings":["St. B and P Neural Investments Pty. Limited, Australia"],"affiliations":[{"raw_affiliation_string":"St. B and P Neural Investments Pty. Limited, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037222502"],"corresponding_institution_ids":["https://openalex.org/I8679417"],"apc_list":null,"apc_paid":null,"fwci":3.2916,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.91461435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"1903","last_page":"1908"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9696999788284302,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/backpropagation","display_name":"Backpropagation","score":0.8488552570343018},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.7449925541877747},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.666368305683136},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.6246387958526611},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5935314893722534},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.5512418150901794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48670104146003723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4318193197250366},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.42963969707489014},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3735693693161011},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.326924592256546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30184054374694824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11487188935279846},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07535815238952637}],"concepts":[{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.8488552570343018},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.7449925541877747},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.666368305683136},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.6246387958526611},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5935314893722534},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.5512418150901794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48670104146003723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4318193197250366},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.42963969707489014},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3735693693161011},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.326924592256546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30184054374694824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11487188935279846},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07535815238952637},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1223698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1223698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","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":17,"referenced_works":["https://openalex.org/W115954496","https://openalex.org/W2022740958","https://openalex.org/W2026624453","https://openalex.org/W2044953748","https://openalex.org/W2087836750","https://openalex.org/W2092495253","https://openalex.org/W2104030629","https://openalex.org/W2106688677","https://openalex.org/W2143908786","https://openalex.org/W2145708596","https://openalex.org/W2766736793","https://openalex.org/W3118397963","https://openalex.org/W3121126077","https://openalex.org/W6604746927","https://openalex.org/W6682610290","https://openalex.org/W6788288340","https://openalex.org/W6788743950"],"related_works":["https://openalex.org/W2115605526","https://openalex.org/W3093883775","https://openalex.org/W1539246760","https://openalex.org/W2786746258","https://openalex.org/W2944425345","https://openalex.org/W4225893763","https://openalex.org/W2788727425","https://openalex.org/W2405196115","https://openalex.org/W2104893957","https://openalex.org/W2971074373"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"modified":[4],"back-propagation":[5,71,96],"algorithm":[6,57,91,97],"using":[7],"magnified":[8],"gradient":[9,41,60],"function":[10,42],"(MGFPROP),":[11],"which":[12],"can":[13],"effectively":[14],"speed":[15],"up":[16],"the":[17,22,35,40,44,48,55,59,70,80,84,89,94],"convergence":[18,24,36,49,66,81],"rate":[19,37,82],"and":[20,83,98],"improve":[21],"global":[23,87],"capability":[25],"of":[26,30,43,69,79,86],"back-propagation.":[27],"The":[28],"purpose":[29],"MGFPROP":[31],"is":[32,52],"to":[33],"increase":[34],"by":[38],"magnifying":[39],"activation":[45],"function.":[46],"From":[47],"analysis,":[50],"it":[51],"shown":[53],"that":[54,68],"new":[56,90],"retains":[58],"descent":[61],"property":[62],"but":[63],"gives":[64],"faster":[65],"than":[67],"algorithm.":[72],"Simulation":[73],"results":[74],"show":[75],"that,":[76],"in":[77],"terms":[78],"percentage":[85],"convergence,":[88],"always":[92],"outperforms":[93],"standard":[95],"other":[99],"competing":[100],"techniques.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}