{"id":"https://openalex.org/W4387490624","doi":"https://doi.org/10.1109/tie.2023.3319747","title":"Research on Perceptron Neural Network Based on Memristor","display_name":"Research on Perceptron Neural Network Based on Memristor","publication_year":2023,"publication_date":"2023-10-10","ids":{"openalex":"https://openalex.org/W4387490624","doi":"https://doi.org/10.1109/tie.2023.3319747"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2023.3319747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3319747","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-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/A5049916380","display_name":"Changbao Wen","orcid":"https://orcid.org/0000-0003-2669-5683"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Changbao Wen","raw_affiliation_strings":["School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2669-5683","affiliations":[{"raw_affiliation_string":"School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065351851","display_name":"Jun Zha","orcid":"https://orcid.org/0009-0003-3045-1232"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zha","raw_affiliation_strings":["School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0003-3045-1232","affiliations":[{"raw_affiliation_string":"School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024555271","display_name":"Li Xu","orcid":"https://orcid.org/0009-0000-4412-9410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0000-4412-9410","affiliations":[{"raw_affiliation_string":"School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060527989","display_name":"Feng Ru","orcid":"https://orcid.org/0009-0000-9442-6763"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Ru","raw_affiliation_strings":["School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0000-9442-6763","affiliations":[{"raw_affiliation_string":"School of Energy and Electrical Engineering, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069698957","display_name":"Sheng QUAN","orcid":"https://orcid.org/0009-0000-3615-2020"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Quan","raw_affiliation_strings":["School of Electronic and Control Engineering, Chang&#x0027;an University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0000-3615-2020","affiliations":[{"raw_affiliation_string":"School of Electronic and Control Engineering, Chang&#x0027;an University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049916380"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7576,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71427642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"71","issue":"8","first_page":"9649","last_page":"9657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9983999729156494,"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":0.9983999729156494,"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/T12676","display_name":"Machine Learning and ELM","score":0.9769999980926514,"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":0.9753000140190125,"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/memristor","display_name":"Memristor","score":0.8664748072624207},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.8375082015991211},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8010646104812622},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6932046413421631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.678639829158783},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.6105908751487732},{"id":"https://openalex.org/keywords/probabilistic-neural-network","display_name":"Probabilistic neural network","score":0.5632777810096741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5560563802719116},{"id":"https://openalex.org/keywords/physical-neural-network","display_name":"Physical neural network","score":0.41669395565986633},{"id":"https://openalex.org/keywords/memistor","display_name":"Memistor","score":0.41089731454849243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40786558389663696},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4051942825317383},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.326218843460083},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16178125143051147},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1361212432384491},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.13410761952400208},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.12102055549621582}],"concepts":[{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.8664748072624207},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.8375082015991211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8010646104812622},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6932046413421631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.678639829158783},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.6105908751487732},{"id":"https://openalex.org/C134342201","wikidata":"https://www.wikidata.org/wiki/Q7246859","display_name":"Probabilistic neural network","level":4,"score":0.5632777810096741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5560563802719116},{"id":"https://openalex.org/C33766855","wikidata":"https://www.wikidata.org/wiki/Q7189618","display_name":"Physical neural network","level":5,"score":0.41669395565986633},{"id":"https://openalex.org/C1895703","wikidata":"https://www.wikidata.org/wiki/Q6034938","display_name":"Memistor","level":4,"score":0.41089731454849243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40786558389663696},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4051942825317383},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.326218843460083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16178125143051147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1361212432384491},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.13410761952400208},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.12102055549621582},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2023.3319747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3319747","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973260008","https://openalex.org/W2810268565","https://openalex.org/W2898929289","https://openalex.org/W2966081953","https://openalex.org/W3003821665","https://openalex.org/W3119717233","https://openalex.org/W3127578329","https://openalex.org/W3154314696","https://openalex.org/W3161343553","https://openalex.org/W3174273664","https://openalex.org/W3186930505","https://openalex.org/W4206645554","https://openalex.org/W4281874271","https://openalex.org/W4285181730","https://openalex.org/W4285219574","https://openalex.org/W4285220680","https://openalex.org/W4285283167","https://openalex.org/W4286373137","https://openalex.org/W4305082891","https://openalex.org/W4315778767","https://openalex.org/W4361286998"],"related_works":["https://openalex.org/W1595652908","https://openalex.org/W2089093251","https://openalex.org/W2950022897","https://openalex.org/W2950917560","https://openalex.org/W2785001934","https://openalex.org/W2186233897","https://openalex.org/W651238688","https://openalex.org/W2114473615","https://openalex.org/W2440925417","https://openalex.org/W2942778963"],"abstract_inverted_index":{"Based":[0],"on":[1,24,47,63,87,123],"the":[2,5,11,37,80,95,114,117,133,147,150],"similarity":[3],"between":[4],"working":[6],"mechanism":[7],"of":[8,13,19,79,97,107,116,140,149],"memristors":[9,25,48,64,88,124],"and":[10,132,142],"synapses":[12],"neural":[14,21,44,60,74,84,120],"networks,":[15],"a":[16,40,70,100,104],"design":[17,155],"scheme":[18],"perceptron":[20,34,43,53,59,73,83,119,153],"networks":[22],"based":[23,33,46,62,86,122,152],"is":[26,49,65,130,135],"proposed":[27],"in":[28,55,99],"this":[29],"article.":[30],"Using":[31],"memristor":[32,151],"neurons":[35,54],"as":[36],"basic":[38],"unit,":[39],"single":[41,71,81],"layer":[42,72,82],"network":[45,61,85,121,154],"implemented":[50,66],"by":[51,67],"adding":[52,69],"parallel.":[56],"A":[57],"multilayer":[58,118],"serially":[68],"network.":[75],"The":[76,137],"multiclassification":[77,141],"function":[78],"was":[89],"verified":[90],"through":[91],"experiments":[92],"to":[93,125],"determine":[94],"quadrant":[96],"points":[98],"two-dimensional":[101],"plane,":[102],"with":[103],"classification":[105],"accuracy":[106],"96.67%.":[108],"Through":[109],"logical":[110],"XOR":[111],"operation":[112],"experiments,":[113],"ability":[115],"handle":[126],"linear":[127,143],"indivisible":[128],"problems":[129,145],"verified,":[131],"error":[134],"zero.":[136],"experimental":[138],"results":[139],"indivisibility":[144],"confirm":[146],"feasibility":[148],"scheme.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}
