{"id":"https://openalex.org/W1526834992","doi":"https://doi.org/10.1109/ijcnn.2005.1556074","title":"Evolution strategies on connection weights into modified gradient function for multi-layer neural networks","display_name":"Evolution strategies on connection weights into modified gradient function for multi-layer neural networks","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1526834992","doi":"https://doi.org/10.1109/ijcnn.2005.1556074","mag":"1526834992"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1556074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556074","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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 and Technology, Open University, HK, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, Open University, HK, Hong Kong, China","institution_ids":["https://openalex.org/I8679417"]}]},{"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 Engineering, City University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, 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&P Neural Investments Private Limited, Westleigh, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"St B&P Neural Investments Private Limited, Westleigh, NSW, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037222502"],"corresponding_institution_ids":["https://openalex.org/I8679417"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11212334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1371","last_page":"1376"},"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13579","display_name":"Image and Video Stabilization","score":0.9822999835014343,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6717255115509033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6703507900238037},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.6565271019935608},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6453026533126831},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.6058534383773804},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5115112066268921},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5101616382598877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48419955372810364},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.4670048952102661},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.44400909543037415},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3582002520561218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3246315121650696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22288775444030762},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05662897229194641}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6717255115509033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6703507900238037},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.6565271019935608},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6453026533126831},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.6058534383773804},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5115112066268921},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5101616382598877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48419955372810364},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.4670048952102661},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.44400909543037415},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3582002520561218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3246315121650696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22288775444030762},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05662897229194641},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2005.1556074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1556074","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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":21,"referenced_works":["https://openalex.org/W44465109","https://openalex.org/W1541007220","https://openalex.org/W1666485427","https://openalex.org/W2010128305","https://openalex.org/W2022540064","https://openalex.org/W2033137841","https://openalex.org/W2087836750","https://openalex.org/W2104030629","https://openalex.org/W2105217850","https://openalex.org/W2106688677","https://openalex.org/W2143908786","https://openalex.org/W2144636407","https://openalex.org/W2154642048","https://openalex.org/W2160208155","https://openalex.org/W2766736793","https://openalex.org/W3118397963","https://openalex.org/W6601814988","https://openalex.org/W6632298018","https://openalex.org/W6637149266","https://openalex.org/W6682610290","https://openalex.org/W6788288340"],"related_works":["https://openalex.org/W2244330272","https://openalex.org/W97768505","https://openalex.org/W2998088892","https://openalex.org/W2918103456","https://openalex.org/W2080531293","https://openalex.org/W2023914354","https://openalex.org/W2540883726","https://openalex.org/W3005666459","https://openalex.org/W4300200276","https://openalex.org/W4298020725"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"two":[3],"modifications":[4],"on":[5,21,38],"the":[6,22,25,29,33,42,49,56],"conventional":[7],"back-propagation":[8],"algorithm":[9,52],"for":[10],"feedforward":[11],"multi-layer":[12],"neural":[13],"networks":[14],"are":[15],"presented.":[16],"One":[17],"modification":[18],"is":[19,32],"based":[20],"calculation":[23],"of":[24,35],"gradient":[26,43],"function,":[27],"while":[28],"other":[30,66],"one":[31],"use":[34],"evolution":[36],"strategies":[37],"connection":[39],"weights":[40],"into":[41],"search":[44,72],"algorithm.":[45],"From":[46],"simulation":[47],"results,":[48],"new":[50],"modified":[51],"always":[53],"converges":[54],"to":[55],"global":[57,71],"optimal":[58],"solution":[59],"with":[60,65],"better":[61],"performance":[62],"when":[63],"compared":[64],"fast":[67],"learning":[68],"algorithms":[69],"and":[70],"methods.":[73]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}