{"id":"https://openalex.org/W1499839691","doi":"https://doi.org/10.1007/11816171_31","title":"A Reliable Resilient Backpropagation Method with Gradient Ascent","display_name":"A Reliable Resilient Backpropagation Method with Gradient Ascent","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W1499839691","doi":"https://doi.org/10.1007/11816171_31","mag":"1499839691"},"language":"en","primary_location":{"id":"doi:10.1007/11816171_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11816171_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5103258772","display_name":"Xugang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xugang Wang","raw_affiliation_strings":["Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013118329","display_name":"Hongan Wang","orcid":"https://orcid.org/0000-0002-9320-4920"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongan Wang","raw_affiliation_strings":["Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087942346","display_name":"Guozhong Dai","orcid":"https://orcid.org/0000-0002-7849-6697"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozhong Dai","raw_affiliation_strings":["Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligence Engineering Laboratory, Institute of Software, The Chinese Academy of Sciences, Beijing 100080, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100704278","display_name":"Zheng Tang","orcid":"https://orcid.org/0000-0002-6543-7444"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zheng Tang","raw_affiliation_strings":["Faculty of Engineering, Toyama University, Toyama-shi, 930-8555, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Toyama University, Toyama-shi, 930-8555, Japan","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"244"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9861000180244446,"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/rprop","display_name":"Rprop","score":0.9532984495162964},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.9191640615463257},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.8867329359054565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7250332236289978},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6538561582565308},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5238147377967834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49825143814086914},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.42167460918426514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4076652228832245},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.19120430946350098},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.1440487504005432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13907769322395325}],"concepts":[{"id":"https://openalex.org/C98359873","wikidata":"https://www.wikidata.org/wiki/Q1320470","display_name":"Rprop","level":5,"score":0.9532984495162964},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.9191640615463257},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.8867329359054565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250332236289978},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6538561582565308},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5238147377967834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49825143814086914},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.42167460918426514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4076652228832245},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.19120430946350098},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.1440487504005432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13907769322395325},{"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/11816171_31","is_oa":false,"landing_page_url":"https://doi.org/10.1007/11816171_31","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W161283806","https://openalex.org/W1531857721","https://openalex.org/W1541007220","https://openalex.org/W1973966843","https://openalex.org/W1981977956","https://openalex.org/W2010795294","https://openalex.org/W2015361770","https://openalex.org/W2022740958","https://openalex.org/W2037944537","https://openalex.org/W2062551415","https://openalex.org/W2081808304","https://openalex.org/W2083918846","https://openalex.org/W2098437527","https://openalex.org/W2112253595","https://openalex.org/W2124503759","https://openalex.org/W2143908786","https://openalex.org/W2160208155","https://openalex.org/W2160778987","https://openalex.org/W2160863970","https://openalex.org/W2502631026","https://openalex.org/W3112073073","https://openalex.org/W3207342693","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2388181322","https://openalex.org/W1535694475","https://openalex.org/W1965562977","https://openalex.org/W2135804779","https://openalex.org/W4230330636","https://openalex.org/W1499839691","https://openalex.org/W2093953062","https://openalex.org/W2132461435","https://openalex.org/W1554143855","https://openalex.org/W1973946912"],"abstract_inverted_index":null,"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}