{"id":"https://openalex.org/W2552324112","doi":"https://doi.org/10.1109/ijcnn.2016.7727393","title":"Deep learning with random neural networks","display_name":"Deep learning with random neural networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2552324112","doi":"https://doi.org/10.1109/ijcnn.2016.7727393","mag":"2552324112"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2016.7727393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727393","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074413858","display_name":"Erol Gelenbe","orcid":"https://orcid.org/0000-0001-9688-2201"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Erol Gelenbe","raw_affiliation_strings":["Intelligent Systems and Networks Group, Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Networks Group, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024397131","display_name":"Yongha Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yongha Yin","raw_affiliation_strings":["Intelligent Systems and Networks Group, Imperial College, London, UK"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems and Networks Group, Imperial College, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074413858"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":17.2936,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.99118938,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1633","last_page":"1638"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10320","display_name":"Neural Networks and Applications","score":0.9994999766349792,"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":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.6727712750434875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6092360615730286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382696390151978},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.510190486907959},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.45162975788116455},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4157015085220337},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32882511615753174},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.23512384295463562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727712750434875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6092360615730286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382696390151978},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.510190486907959},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.45162975788116455},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4157015085220337},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32882511615753174},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.23512384295463562}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2016.7727393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2016.7727393","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1536929369","https://openalex.org/W1594730842","https://openalex.org/W1979531751","https://openalex.org/W1980925810","https://openalex.org/W1994381475","https://openalex.org/W1996503769","https://openalex.org/W2006908712","https://openalex.org/W2009786043","https://openalex.org/W2010470943","https://openalex.org/W2028319341","https://openalex.org/W2042067389","https://openalex.org/W2044871439","https://openalex.org/W2045643717","https://openalex.org/W2056494836","https://openalex.org/W2070357113","https://openalex.org/W2095613246","https://openalex.org/W2100556411","https://openalex.org/W2106280476","https://openalex.org/W2112796928","https://openalex.org/W2120432001","https://openalex.org/W2122376145","https://openalex.org/W2127322469","https://openalex.org/W2130095783","https://openalex.org/W2132424367","https://openalex.org/W2144133318","https://openalex.org/W2147374078","https://openalex.org/W2149570311","https://openalex.org/W2151999193","https://openalex.org/W2160820123","https://openalex.org/W2185486289","https://openalex.org/W2189154145","https://openalex.org/W2279092441","https://openalex.org/W2293168792","https://openalex.org/W2301541953","https://openalex.org/W2614225773","https://openalex.org/W2913907444","https://openalex.org/W2994602700","https://openalex.org/W4242488844","https://openalex.org/W6668167519","https://openalex.org/W6697650931","https://openalex.org/W6759079918"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4390190477","https://openalex.org/W4377865163","https://openalex.org/W1703700233","https://openalex.org/W2790188059","https://openalex.org/W3193857078","https://openalex.org/W1969341713","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W180587397"],"abstract_inverted_index":{"This":[0],"paper":[1,27],"introduces":[2,28],"techniques":[3,108],"for":[4],"Deep":[5,59],"Learning":[6,60],"in":[7,23,113],"conjunction":[8],"with":[9,46],"spiked":[10],"random":[11,32,72],"neural":[12,33,73],"networks":[13,34],"that":[14,97,109],"closely":[15],"resemble":[16],"the":[17,37,98,105,114],"stochastic":[18],"behaviour":[19],"of":[20,30,39,66,71,107],"biological":[21],"neurons":[22],"mammalian":[24],"brains.":[25],"The":[26,81],"clusters":[29],"such":[31],"and":[35,89,103],"obtains":[36],"characteristics":[38],"their":[40],"collective":[41],"behaviour.":[42],"Combining":[43],"this":[44],"model":[45],"previous":[47],"work":[48],"on":[49,85],"extreme":[50,78],"learning":[51,79],"machines,":[52],"we":[53],"develop":[54],"multilayer":[55],"architectures":[56],"which":[57],"structure":[58],"Architectures":[61],"a":[62,63,86],"\u201cfront":[64],"end\u201d":[65],"one":[67],"or":[68],"two":[69],"layers":[70],"networks,":[74],"followed":[75],"by":[76],"an":[77],"machine.":[80],"approach":[82,100],"is":[83],"evaluated":[84],"standard":[87],"-":[88,91],"large":[90],"visual":[92],"character":[93],"recognition":[94],"database,":[95],"showing":[96],"proposed":[99],"can":[101],"attain":[102],"exceed":[104],"performance":[106],"were":[110],"previously":[111],"reported":[112],"literature.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
