{"id":"https://openalex.org/W1636374761","doi":"https://doi.org/10.1109/ijcnn.2015.7280785","title":"Efficient training algorithms for neural networks based on memristive crossbar circuits","display_name":"Efficient training algorithms for neural networks based on memristive crossbar circuits","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1636374761","doi":"https://doi.org/10.1109/ijcnn.2015.7280785","mag":"1636374761"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"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/A5079183250","display_name":"Irina Kataeva","orcid":"https://orcid.org/0000-0002-9522-4351"},"institutions":[{"id":"https://openalex.org/I171818078","display_name":"Nitto (Japan)","ror":"https://ror.org/01kq4az79","country_code":"JP","type":"company","lineage":["https://openalex.org/I171818078"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Irina Kataeva","raw_affiliation_strings":["Advanced Research Division, DENSO CORPORATION, Nisshin, Japan","Advanced Research Division, DENSO CORPORATION, Komenoki-cho, Nisshin, Japan, 470-0111"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Research Division, DENSO CORPORATION, Nisshin, Japan","institution_ids":["https://openalex.org/I171818078"]},{"raw_affiliation_string":"Advanced Research Division, DENSO CORPORATION, Komenoki-cho, Nisshin, Japan, 470-0111","institution_ids":["https://openalex.org/I171818078"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110938379","display_name":"Farnood Merrikh-Bayat","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farnood Merrikh-Bayat","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089517204","display_name":"Elham Zamanidoost","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elham Zamanidoost","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035468831","display_name":"Dmitri B. Strukov","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitri Strukov","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California, Santa Barbara, CA, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of California Santa Barbara, 93106-9560, USA","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.7056,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.99749481,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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/mnist-database","display_name":"MNIST database","score":0.9449207782745361},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.9192168116569519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7348034381866455},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6357497572898865},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6324426531791687},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6009069681167603},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5814560651779175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5537022948265076},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5399783253669739},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5253581404685974},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.47067221999168396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4215371608734131},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3414964973926544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1132570207118988},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09036949276924133}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9449207782745361},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.9192168116569519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348034381866455},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6357497572898865},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6324426531791687},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6009069681167603},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5814560651779175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5537022948265076},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5399783253669739},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5253581404685974},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.47067221999168396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4215371608734131},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3414964973926544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1132570207118988},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09036949276924133},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W293134581","https://openalex.org/W1542981317","https://openalex.org/W1578671836","https://openalex.org/W1965907622","https://openalex.org/W2005875039","https://openalex.org/W2009832130","https://openalex.org/W2014307680","https://openalex.org/W2016922062","https://openalex.org/W2018774711","https://openalex.org/W2021383442","https://openalex.org/W2023698363","https://openalex.org/W2030568691","https://openalex.org/W2039362187","https://openalex.org/W2043260784","https://openalex.org/W2051385641","https://openalex.org/W2051505329","https://openalex.org/W2061180981","https://openalex.org/W2071947829","https://openalex.org/W2081390428","https://openalex.org/W2091777687","https://openalex.org/W2108672244","https://openalex.org/W2112796928","https://openalex.org/W2112980946","https://openalex.org/W2122221396","https://openalex.org/W2125203716","https://openalex.org/W2129936377","https://openalex.org/W2130360162","https://openalex.org/W2148251150","https://openalex.org/W2151339883","https://openalex.org/W2155377787","https://openalex.org/W2155954834","https://openalex.org/W2163031927","https://openalex.org/W2163605009","https://openalex.org/W2327625289","https://openalex.org/W2331911190","https://openalex.org/W2334364695","https://openalex.org/W2736034299","https://openalex.org/W2914484425","https://openalex.org/W3004171485","https://openalex.org/W3099743262","https://openalex.org/W4238404964","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W3008580913","https://openalex.org/W4386216112","https://openalex.org/W1701967867","https://openalex.org/W1636374761","https://openalex.org/W1908107260","https://openalex.org/W1952005211","https://openalex.org/W2555356437","https://openalex.org/W2417891382","https://openalex.org/W2056311930","https://openalex.org/W2076543106"],"abstract_inverted_index":{"We":[0],"have":[1],"adapted":[2],"backpropagation":[3],"algorithm":[4],"for":[5,47,71,85],"training":[6,17],"multilayer":[7,49],"perceptron":[8,50],"classifier":[9],"implemented":[10],"with":[11,51],"memristive":[12,32],"crossbar":[13,40],"circuits.":[14],"The":[15,42],"proposed":[16],"approach":[18],"takes":[19],"into":[20],"account":[21],"switching":[22],"dynamics":[23],"of":[24,31,55],"a":[25],"particular,":[26],"though":[27],"very":[28],"typical,":[29],"type":[30],"devices":[33],"and":[34,69,73],"weight":[35],"update":[36],"restrictions":[37],"imposed":[38],"by":[39],"topology.":[41],"simulation":[43],"results":[44,84],"show":[45],"that":[46],"crossbar-based":[48],"one":[52],"hidden":[53],"layer":[54],"300":[56],"neurons":[57],"misclassification":[58],"rate":[59],"on":[60],"MNIST":[61],"benchmark":[62],"could":[63],"be":[64],"as":[65,67],"low":[66],"1.47%":[68],"4.06%":[70],"batch":[72],"stochastic":[74],"algorithms,":[75],"respectively,":[76],"which":[77],"is":[78],"comparable":[79],"to":[80],"the":[81],"best":[82],"reported":[83],"similar":[86],"neural":[87],"networks.":[88]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}