{"id":"https://openalex.org/W2106957537","doi":"https://doi.org/10.1109/ijcnn.2004.1381072","title":"Reversible logic neural networks","display_name":"Reversible logic neural networks","publication_year":2005,"publication_date":"2005-02-28","ids":{"openalex":"https://openalex.org/W2106957537","doi":"https://doi.org/10.1109/ijcnn.2004.1381072","mag":"2106957537"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1381072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","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/A5055373166","display_name":"Anas N. Al\u2010Rabadi","orcid":null},"institutions":[{"id":"https://openalex.org/I126345244","display_name":"Portland State University","ror":"https://ror.org/00yn2fy02","country_code":"US","type":"education","lineage":["https://openalex.org/I126345244"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A.N. Al-Rabadi","raw_affiliation_strings":["Portland State University, Portland, OR, USA","Portland State University, OR, USA"],"affiliations":[{"raw_affiliation_string":"Portland State University, Portland, OR, USA","institution_ids":["https://openalex.org/I126345244"]},{"raw_affiliation_string":"Portland State University, OR, USA","institution_ids":["https://openalex.org/I126345244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055373166"],"corresponding_institution_ids":["https://openalex.org/I126345244"],"apc_list":null,"apc_paid":null,"fwci":0.4387,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74235635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"4","issue":null,"first_page":"2677","last_page":"2682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9995999932289124,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9995999932289124,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9991000294685364,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/electronic-circuit","display_name":"Electronic circuit","score":0.6905564069747925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6648268103599548},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6156024932861328},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5448740124702454},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5317688584327698},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.48818498849868774},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.4729953706264496},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4652351438999176},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4624585807323456},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.44272497296333313},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.40949034690856934},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3539500832557678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3269367814064026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17779245972633362},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17482030391693115},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.17438581585884094},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16975906491279602}],"concepts":[{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6905564069747925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6648268103599548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6156024932861328},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5448740124702454},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5317688584327698},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.48818498849868774},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.4729953706264496},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4652351438999176},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4624585807323456},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.44272497296333313},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.40949034690856934},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3539500832557678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3269367814064026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17779245972633362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17482030391693115},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.17438581585884094},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16975906491279602},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2004.1381072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W651116220","https://openalex.org/W1543643719","https://openalex.org/W1631356911","https://openalex.org/W1825077972","https://openalex.org/W2095731623","https://openalex.org/W2105259569","https://openalex.org/W2106957537","https://openalex.org/W2108794258","https://openalex.org/W2124776405","https://openalex.org/W2133032731","https://openalex.org/W2341171179","https://openalex.org/W2500578979","https://openalex.org/W2764347725","https://openalex.org/W2912120411","https://openalex.org/W2920943913","https://openalex.org/W4233798822","https://openalex.org/W4251702100"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W2115072676","https://openalex.org/W2045727192","https://openalex.org/W4311212821","https://openalex.org/W2102065768","https://openalex.org/W4390752998","https://openalex.org/W1529660427","https://openalex.org/W3121106353","https://openalex.org/W2158578859"],"abstract_inverted_index":{"Novel":[0],"reversible":[1,29],"neural":[2],"network":[3],"(RevNN)":[4],"architecture":[5],"is":[6,15,26,77],"introduced,":[7],"and":[8,41,44,52,103],"a":[9,78],"RevNN":[10,20,107],"paradigm":[11],"using":[12],"supervised":[13],"learning":[14],"presented.":[16],"The":[17],"application":[18],"of":[19,38,50,57,68,74,85,96,117,129],"to":[21],"multiple-output":[22],"feedforward":[23],"plant":[24],"control":[25,128],"shown.":[27],"(k,k)":[28],"circuits":[30,32,108,118],"are":[31,45],"that":[33,119],"have":[34],"the":[35,55,66,72,82,93,105,115],"same":[36],"number":[37],"inputs":[39,51],"(k)":[40,43],"outputs":[42],"one-to-one":[46],"mappings":[47],"between":[48],"vectors":[49],"outputs,":[53],"thus":[54,104],"vector":[56,67],"input":[58],"values":[59],"can":[60,109],"always":[61],"be":[62],"uniquely":[63],"reconstructed":[64],"from":[65],"output":[69],"values.":[70],"Since":[71],"reduction":[73],"power":[75,122],"consumption":[76],"major":[79],"requirement":[80],"for":[81,123],"circuit":[83],"design":[84,116],"future":[86,98],"technologies":[87,99],"such":[88,125],"as":[89,126],"in":[90,114],"quantum":[91],"computing,":[92],"main":[94],"features":[95],"several":[97],"will":[100],"include":[101],"reversibility,":[102],"new":[106],"play":[110],"an":[111],"important":[112],"role":[113],"consume":[120],"minimal":[121],"applications":[124],"low-power":[127],"autonomous":[130],"robots.":[131]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}