{"id":"https://openalex.org/W2774529511","doi":"https://doi.org/10.1109/smc.2017.8122882","title":"Fuzzy restricted Boltzmann machine and deep belief network: A comparison on image reconstruction","display_name":"Fuzzy restricted Boltzmann machine and deep belief network: A comparison on image reconstruction","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774529511","doi":"https://doi.org/10.1109/smc.2017.8122882","mag":"2774529511"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5103101501","display_name":"Shuang Feng","orcid":"https://orcid.org/0000-0002-7037-5532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Shuang","raw_affiliation_strings":["Faculty of Science and Technology, School of Applied mathematics Beijing Normal University, Zhuhai, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, School of Applied mathematics Beijing Normal University, Zhuhai, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["University of Macau, Taipa, Macau, MO"],"affiliations":[{"raw_affiliation_string":"University of Macau, Taipa, Macau, MO","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103101501"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.3641,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70015674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"1828","last_page":"1833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9955000281333923,"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9865000247955322,"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/mnist-database","display_name":"MNIST database","score":0.9011997580528259},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.8991031050682068},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.8818458318710327},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.7738837599754333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226789593696594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276291608810425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5966603755950928},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5914077758789062},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5294197201728821},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5055792331695557},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.48026108741760254},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4043439030647278}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9011997580528259},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.8991031050682068},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.8818458318710327},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.7738837599754333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226789593696594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276291608810425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5966603755950928},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5914077758789062},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5294197201728821},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5055792331695557},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.48026108741760254},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4043439030647278},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W66838807","https://openalex.org/W1607307044","https://openalex.org/W1909320841","https://openalex.org/W1993882792","https://openalex.org/W2054814877","https://openalex.org/W2107215445","https://openalex.org/W2110798204","https://openalex.org/W2112796928","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2117130368","https://openalex.org/W2123921160","https://openalex.org/W2130325614","https://openalex.org/W2136922672","https://openalex.org/W2140833774","https://openalex.org/W2141125852","https://openalex.org/W2145094598","https://openalex.org/W2148083797","https://openalex.org/W2153125595","https://openalex.org/W2160815625","https://openalex.org/W2162724919","https://openalex.org/W2163605009","https://openalex.org/W2164700406","https://openalex.org/W2171145682","https://openalex.org/W2178155017","https://openalex.org/W2562903767","https://openalex.org/W2997574889","https://openalex.org/W3207342693","https://openalex.org/W4300402905","https://openalex.org/W6636382570","https://openalex.org/W6639732818","https://openalex.org/W6676481782","https://openalex.org/W6677488779","https://openalex.org/W6680887930","https://openalex.org/W6681096077","https://openalex.org/W6684063506","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2064630666","https://openalex.org/W3121598771","https://openalex.org/W2902142523","https://openalex.org/W2287713958","https://openalex.org/W2513801676","https://openalex.org/W2916681395","https://openalex.org/W3010338767","https://openalex.org/W2128151361","https://openalex.org/W1257380361","https://openalex.org/W2790969636"],"abstract_inverted_index":{"The":[0,34,73],"fuzzy":[1],"restricted":[2],"Boltzmann":[3],"machine":[4],"(FRBM)":[5],"is":[6,36],"demonstrated":[7],"to":[8,103,176],"have":[9],"better":[10,134],"generative":[11,25,174],"and":[12,22,44,55,67,98,136,149],"discriminative":[13],"capabilities":[14],"than":[15,115,146],"traditional":[16],"RBM.":[17],"We":[18],"now":[19],"further":[20],"investigate":[21],"compare":[23],"the":[24,48,52,65,79,92,105,116,127,130,165,172],"ability":[26],"of":[27,95,140,155],"DBN":[28,35,56,118,177],"with":[29,119,152,167,178],"FRBM":[30,80,106,131,166],"on":[31,64],"image":[32],"reconstruction.":[33],"pre-trained":[37],"by":[38,42,47],"stacking":[39],"RBMs":[40],"layer":[41,43],"then":[45],"fine-tuned":[46],"wake-sleep":[49],"algorithm.":[50],"Then":[51],"FRBM,":[53],"RBM":[54],"are":[57],"compared":[58,102],"in":[59,111,182],"detail":[60],"under":[61],"different":[62],"conditions":[63],"MNIST":[66],"Extended":[68],"Yale":[69],"B":[70],"data":[71],"sets.":[72],"experiment":[74],"results":[75],"again":[76],"indicate":[77],"that":[78,164],"outperforms":[81],"RBM:":[82],"it":[83],"can":[84,107],"achieve":[85,108],"smaller":[86,109],"average":[87],"reconstruction":[88],"errors":[89],"(AREs)":[90],"given":[91],"same":[93],"number":[94,154],"hidden":[96,121,156,169,180],"units":[97,170,181],"learning":[99,113,144],"time.":[100],"When":[101],"DBNs,":[104],"AREs":[110],"less":[112],"time":[114,145],"two-layer":[117,148],"equal":[120],"size.":[122],"Moreover,":[123],"when":[124],"we":[125,159],"increase":[126,139],"training":[128],"epochs,":[129],"shows":[132],"a":[133,137,161],"ARE":[135],"slight":[138],"(or":[141],"still":[142],"less)":[143],"corresponding":[147],"three-layer":[150],"DBNs":[151],"double":[153],"units.":[157],"Hence":[158],"make":[160],"preliminary":[162],"conclusion":[163],"m":[168],"possesses":[171],"close":[173],"capability":[175],"2m":[179],"reconstructing":[183],"images.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
