{"id":"https://openalex.org/W2344475789","doi":"https://doi.org/10.1109/tnnls.2016.2517078","title":"An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose","display_name":"An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose","publication_year":2016,"publication_date":"2016-02-03","ids":{"openalex":"https://openalex.org/W2344475789","doi":"https://doi.org/10.1109/tnnls.2016.2517078","mag":"2344475789","pmid":"https://pubmed.ncbi.nlm.nih.gov/26863678"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2016.2517078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2517078","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054750920","display_name":"Jen-Huo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Huo Wang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070893537","display_name":"Chen-Ting Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chen-Ting Tang","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112447815","display_name":"Hsin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin Chen","raw_affiliation_strings":["Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3249,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8680531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"28","issue":"4","first_page":"961","last_page":"974"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9930999875068665,"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":0.9930999875068665,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10581","display_name":"Neural dynamics and brain function","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/microsystem","display_name":"Microsystem","score":0.6659349799156189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.523329496383667},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5005590915679932},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5003302097320557},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.49072420597076416},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4865964651107788},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.47955700755119324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4777635633945465},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.46767908334732056},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.4369235038757324},{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.43636026978492737},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36833515763282776},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.36079999804496765},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35993653535842896},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34782740473747253},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.32405489683151245}],"concepts":[{"id":"https://openalex.org/C151054161","wikidata":"https://www.wikidata.org/wiki/Q379385","display_name":"Microsystem","level":2,"score":0.6659349799156189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.523329496383667},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5005590915679932},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5003302097320557},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.49072420597076416},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4865964651107788},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.47955700755119324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4777635633945465},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.46767908334732056},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4369235038757324},{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.43636026978492737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36833515763282776},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.36079999804496765},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35993653535842896},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34782740473747253},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.32405489683151245},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2016.2517078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2016.2517078","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:26863678","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26863678","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2846097352","display_name":null,"funder_award_id":"MOST 103-2220-E-007-025","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G5681633021","display_name":null,"funder_award_id":"NSC 101(2)-2220-E-007-008","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1571871798","https://openalex.org/W1575453886","https://openalex.org/W1589081234","https://openalex.org/W1802537922","https://openalex.org/W1964168965","https://openalex.org/W1973284608","https://openalex.org/W1974812526","https://openalex.org/W1996387066","https://openalex.org/W1998303550","https://openalex.org/W2005386367","https://openalex.org/W2013897941","https://openalex.org/W2023326387","https://openalex.org/W2036206885","https://openalex.org/W2036455951","https://openalex.org/W2036737027","https://openalex.org/W2039599856","https://openalex.org/W2039619216","https://openalex.org/W2041057604","https://openalex.org/W2043652275","https://openalex.org/W2045364744","https://openalex.org/W2064030771","https://openalex.org/W2078116865","https://openalex.org/W2083185411","https://openalex.org/W2084026199","https://openalex.org/W2108424167","https://openalex.org/W2116064496","https://openalex.org/W2116826788","https://openalex.org/W2120322902","https://openalex.org/W2123117701","https://openalex.org/W2123914829","https://openalex.org/W2127577918","https://openalex.org/W2127646612","https://openalex.org/W2130313186","https://openalex.org/W2134319906","https://openalex.org/W2139939613","https://openalex.org/W2143808534","https://openalex.org/W2145962596","https://openalex.org/W2148288582","https://openalex.org/W2149518982","https://openalex.org/W2150631667","https://openalex.org/W2154744349","https://openalex.org/W2161064497","https://openalex.org/W2161278885","https://openalex.org/W2543147515","https://openalex.org/W2611370172","https://openalex.org/W3021459455","https://openalex.org/W4254828171","https://openalex.org/W6643381431","https://openalex.org/W6676111699","https://openalex.org/W6678040224","https://openalex.org/W6678238133","https://openalex.org/W6683778171"],"related_works":["https://openalex.org/W4283272532","https://openalex.org/W2952018105","https://openalex.org/W2119341610","https://openalex.org/W2916681395","https://openalex.org/W2556473569","https://openalex.org/W2193475944","https://openalex.org/W4302433642","https://openalex.org/W2529583158","https://openalex.org/W2108438604","https://openalex.org/W2551541394"],"abstract_inverted_index":{"An":[0],"embedded":[1,43,81,134,144],"system":[2,44,82,135,146],"capable":[3,29],"of":[4,30,74,88,109,116,142],"fusing":[5,84],"sensory":[6,86],"data":[7,32,87,98,118,169],"is":[8,22,62,119,129,147,159],"demanded":[9],"for":[10,83],"many":[11],"portable":[12],"or":[13,171],"implantable":[14],"microsystems.":[15],"The":[16,93,107,140],"continuous":[17],"restricted":[18],"Boltzmann":[19],"machine":[20],"(CRBM)":[21],"a":[23,79,132],"probabilistic":[24],"neural":[25],"network":[26],"not":[27],"only":[28],"classifying":[31],"reliably":[33],"but":[34],"also":[35],"amenable":[36],"to":[37,97,112,161,167],"very-large-scale-integration":[38],"(VLSI)":[39],"implementation.":[40],"Although":[41],"the":[42,47,55,59,72,76,85,110,126,143,156],"based":[45],"on":[46],"CRBM":[48,77,111,127,145],"has":[49],"been":[50],"demonstrated":[51],"with":[52,65],"analog":[53,66],"VLSI,":[54],"precision":[56],"required":[57],"by":[58,122],"learning":[60,154],"algorithm":[61,128],"hardly":[63],"achievable":[64],"circuits.":[67],"Therefore,":[68],"this":[69],"paper":[70],"investigates":[71],"feasibility":[73],"realizing":[75],"as":[78,131],"digital":[80,133],"an":[89,137],"electronic":[90],"nose":[91],"(eNose).":[92],"fusion":[94],"here":[95],"refers":[96],"clustering":[99],"and":[100,150],"dimensional":[101],"reduction":[102],"that":[103],"facilitates":[104],"reliable":[105],"classification.":[106],"capability":[108],"model":[113],"different":[114],"types":[115],"eNose":[117,138,158],"first":[120],"examined":[121],"MATLAB":[123],"simulation.":[124],"Afterward,":[125],"customdesigned":[130],"within":[136],"microsystem.":[139],"functionality":[141],"then":[148],"tested":[149],"discussed.":[151],"With":[152],"on-chip":[153],"ability,":[155],"CRBM-embedded":[157],"able":[160],"adapt":[162],"its":[163],"parameters":[164],"in":[165],"response":[166],"new":[168],"inputs":[170],"environmental":[172],"changes.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
