{"id":"https://openalex.org/W2810099035","doi":"https://doi.org/10.1109/fskd.2017.8393034","title":"A parallel randomized neural network on in-memory cluster computing for big data","display_name":"A parallel randomized neural network on in-memory cluster computing for big data","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810099035","doi":"https://doi.org/10.1109/fskd.2017.8393034","mag":"2810099035"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5076338600","display_name":"Tongwu Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tongwu Dai","raw_affiliation_strings":["National Supercomputing Center in Changsha, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center in Changsha, Changsha, Hunan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078793726","display_name":"Kenli Li","orcid":"https://orcid.org/0000-0002-2635-7716"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenli Li","raw_affiliation_strings":["National Supercomputing Center in Changsha, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center in Changsha, Changsha, Hunan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622590","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-1389-0148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cen Chen","raw_affiliation_strings":["National Supercomputing Center in Changsha, Changsha, Hunan, China"],"affiliations":[{"raw_affiliation_string":"National Supercomputing Center in Changsha, Changsha, Hunan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076338600"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73031925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"74","issue":null,"first_page":"1769","last_page":"1778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998999834060669,"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":0.9998999834060669,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7988661527633667},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7829142808914185},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6160059571266174},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.5821361541748047},{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.5773820281028748},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5562437176704407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4763520061969757},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4671907424926758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10893303155899048}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7988661527633667},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7829142808914185},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6160059571266174},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.5821361541748047},{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.5773820281028748},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5562437176704407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4763520061969757},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4671907424926758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10893303155899048},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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":19,"referenced_works":["https://openalex.org/W1971735090","https://openalex.org/W1973747955","https://openalex.org/W1980042374","https://openalex.org/W1989904992","https://openalex.org/W1996640396","https://openalex.org/W2044821377","https://openalex.org/W2045489657","https://openalex.org/W2061354549","https://openalex.org/W2100495367","https://openalex.org/W2112796928","https://openalex.org/W2137983211","https://openalex.org/W2141695047","https://openalex.org/W2155910151","https://openalex.org/W2159588611","https://openalex.org/W2167982865","https://openalex.org/W2286961399","https://openalex.org/W2294551910","https://openalex.org/W2608190038","https://openalex.org/W6683090604"],"related_works":["https://openalex.org/W3099313426","https://openalex.org/W4287593139","https://openalex.org/W752783541","https://openalex.org/W1506547947","https://openalex.org/W2079849989","https://openalex.org/W2995605830","https://openalex.org/W4206811032","https://openalex.org/W2086123442","https://openalex.org/W2596457687","https://openalex.org/W3212757063"],"abstract_inverted_index":{"Owing":[0],"to":[1,52,74,83],"its":[2],"good":[3],"generalization":[4],"performance":[5],"and":[6,23,40,54,159],"rapid":[7],"learning":[8],"speed,":[9],"RNN":[10],"(Randomized":[11],"Neural":[12],"Network)":[13],"is":[14,38,48,59,122,166],"widely":[15],"used":[16],"in":[17,34,97],"text":[18],"classification,":[19],"image":[20],"recognition,":[21],"bioinformatics":[22],"other":[24],"fields.":[25],"However,":[26],"the":[27,35,41,68,76,87,104,107,117,123,128,135,140,146,153,161,173],"amount":[28],"of":[29,67,89,106,127,175],"data":[30,57],"generated":[31],"by":[32,72,152,157],"applications":[33],"real":[36],"world":[37],"growing,":[39],"traditional":[42,90,108],"centralized":[43,91,109],"randomized":[44,77,92,110],"neural":[45,78,93,111],"network":[46,79,94,112],"(RNN)":[47,80,95],"no":[49],"longer":[50],"able":[51],"quickly":[53],"efficiently":[55],"learn":[56],"that":[58,116],"so":[60],"large.":[61],"Therefore,":[62],"this":[63],"paper":[64],"makes":[65],"use":[66],"distributed":[69,147,154],"framework":[70,155],"provided":[71,156],"Flink":[73],"realize":[75],"parallelization":[81],"algorithm":[82,96],"make":[84],"up":[85],"for":[86],"deficiency":[88],"dealing":[98],"with":[99],"large":[100],"datasets.":[101],"By":[102],"analyzing":[103],"characteristics":[105],"(RNN),":[113],"we":[114],"find":[115],"most":[118],"time":[119],"consuming":[120],"part":[121],"matrix":[124,132,141,148],"multiplication":[125,142],"operation":[126],"Moore":[129],"generalized":[130],"inverse":[131],"when":[133],"calculating":[134],"output":[136,163],"weight":[137,164],"vector.":[138],"Since":[139],"can":[143,149],"be":[144,150],"decomposed,":[145],"multiplied":[151],"Flink,":[158],"then":[160],"corresponding":[162],"vector":[165],"centrally":[167],"calculated.":[168],"Extensive":[169],"experiments":[170],"have":[171],"validated":[172],"effectiveness":[174],"our":[176],"proposed":[177],"algorithm.":[178]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}