{"id":"https://openalex.org/W2023453844","doi":"https://doi.org/10.1109/iecon.2013.6699512","title":"Implementation of quadric perceptron with hardlims activation function in a FPGA for nonlinear pattern classification","display_name":"Implementation of quadric perceptron with hardlims activation function in a FPGA for nonlinear pattern classification","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W2023453844","doi":"https://doi.org/10.1109/iecon.2013.6699512","mag":"2023453844"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2013.6699512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2013.6699512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society","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":null,"display_name":"Raymundo Cordero Garcia","orcid":null},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raymundo Cordero Garcia","raw_affiliation_strings":["Department of Electrical Engineering-COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","Dept. of Electr. Eng.-COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering-COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Dept. of Electr. Eng.-COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085483137","display_name":"Walter I. Suemitsu","orcid":"https://orcid.org/0000-0001-7131-8700"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Walter Issamu Suemitsu","raw_affiliation_strings":["Department of Electrical Engineering-COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","Dept. of Electr. Eng.-COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering-COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]},{"raw_affiliation_string":"Dept. of Electr. Eng.-COPPE, Fed. Univ. of Rio de Janeiro, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026395860","display_name":"Jo\u00e3o Onofre Pereira Pinto","orcid":"https://orcid.org/0000-0002-6547-0607"},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Joao Onofre Pereira Pinto","raw_affiliation_strings":["Laboratory of Digital Systems and Power Electronics, Federal University of Mato Grosso do Sul, Brazil","Lab. of Digital Syst. & Power Electron., Fed. Univ. of Mato Grosso do Sul, Campo Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Systems and Power Electronics, Federal University of Mato Grosso do Sul, Brazil","institution_ids":["https://openalex.org/I122558511"]},{"raw_affiliation_string":"Lab. of Digital Syst. & Power Electron., Fed. Univ. of Mato Grosso do Sul, Campo Grande, Brazil","institution_ids":["https://openalex.org/I122558511"]}]},{"author_position":"last","author":{"id":null,"display_name":"Andre Muniz Soares","orcid":null},"institutions":[{"id":"https://openalex.org/I122558511","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847","country_code":"BR","type":"education","lineage":["https://openalex.org/I122558511"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andre Muniz Soares","raw_affiliation_strings":["Laboratory of Digital Systems and Power Electronics Federal, University of Mato Grosso do SuI Mato Grosso do Sul, Brazil","Lab. of Digital Syst. & Power Electron., Fed. Univ. of Mato Grosso do Sul, Campo Grande, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Digital Systems and Power Electronics Federal, University of Mato Grosso do SuI Mato Grosso do Sul, Brazil","institution_ids":["https://openalex.org/I122558511"]},{"raw_affiliation_string":"Lab. of Digital Syst. & Power Electron., Fed. Univ. of Mato Grosso do Sul, Campo Grande, Brazil","institution_ids":["https://openalex.org/I122558511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2432","last_page":"2437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9973999857902527,"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":0.9973999857902527,"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/T14438","display_name":"Advanced Scientific Research Methods","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9804999828338623,"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/sigmoid-function","display_name":"Sigmoid function","score":0.8315116167068481},{"id":"https://openalex.org/keywords/activation-function","display_name":"Activation function","score":0.8151594400405884},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6853706240653992},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6412417888641357},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6276848912239075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5728499889373779},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5394488573074341},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.5086858868598938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4819888472557068},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.475273996591568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4687766134738922},{"id":"https://openalex.org/keywords/quadratic-function","display_name":"Quadratic function","score":0.46776503324508667},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.4508768916130066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41931283473968506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32789358496665955},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.224609375}],"concepts":[{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.8315116167068481},{"id":"https://openalex.org/C38365724","wikidata":"https://www.wikidata.org/wiki/Q4677469","display_name":"Activation function","level":3,"score":0.8151594400405884},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6853706240653992},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6412417888641357},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6276848912239075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5728499889373779},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5394488573074341},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.5086858868598938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4819888472557068},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.475273996591568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4687766134738922},{"id":"https://openalex.org/C166437778","wikidata":"https://www.wikidata.org/wiki/Q50695","display_name":"Quadratic function","level":3,"score":0.46776503324508667},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.4508768916130066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41931283473968506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32789358496665955},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.224609375},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2013.6699512","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2013.6699512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320329417","display_name":"Universidade Federal de Mato Grosso do Sul","ror":"https://ror.org/0366d2847"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W257109484","https://openalex.org/W1506908699","https://openalex.org/W1554050384","https://openalex.org/W1601920645","https://openalex.org/W1833193744","https://openalex.org/W2003913626","https://openalex.org/W2018291268","https://openalex.org/W2088112688","https://openalex.org/W2111259503","https://openalex.org/W2124776405","https://openalex.org/W2135791791","https://openalex.org/W2138788015","https://openalex.org/W2150127484","https://openalex.org/W2169819463","https://openalex.org/W2171692221","https://openalex.org/W2542938792","https://openalex.org/W6630423011","https://openalex.org/W6633062635"],"related_works":["https://openalex.org/W3024979424","https://openalex.org/W4283785902","https://openalex.org/W2895192346","https://openalex.org/W3032499992","https://openalex.org/W2041004593","https://openalex.org/W3134817226","https://openalex.org/W3110577345","https://openalex.org/W3136579697","https://openalex.org/W2053362666","https://openalex.org/W4205825681"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,22,101],"the":[4,17,50,58,63,69,80,109],"design":[5],"and":[6,99],"implementation":[7,64,107],"of":[8,40,57,65,96,105,108],"an":[9],"artificial":[10],"neural":[11],"network":[12],"for":[13],"pattern":[14],"classification":[15,30,97,111],"in":[16,52,93],"FPGA":[18,71],"EP2C20F484C7.":[19],"A":[20],"perceptron":[21,90],"quadratic":[23,66,89],"decision":[24],"boundary":[25],"is":[26,47,91,113],"used":[27,51],"as":[28,36],"nonlinear":[29],"system,":[31],"but":[32],"using":[33],"a":[34,41,94],"hardlims":[35],"activation":[37],"function,":[38],"instead":[39],"sigmoid":[42,59],"function.":[43],"The":[44,55,87],"training":[45],"algorithm":[46],"similar":[48],"to":[49,85],"conventional":[53],"perceptron.":[54,103],"elimination":[56],"function":[60],"makes":[61],"simpler":[62],"perceptrons.":[67],"As":[68],"mentioned":[70],"does":[72],"not":[73],"do":[74],"neither":[75],"float-point":[76],"nor":[77],"fixed-point":[78],"multiplications,":[79],"synaptic":[81],"weights":[82],"were":[83],"normalized":[84],"integers.":[86],"proposed":[88,110],"tested":[92],"set":[95],"problems":[98],"compared":[100],"multilayer":[102],"Example":[104],"experimental":[106],"system":[112],"shown,":[114],"including":[115],"parameters":[116],"about":[117],"computational":[118],"cost.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}