{"id":233,"date":"2016-07-13T13:53:38","date_gmt":"2016-07-13T16:53:38","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=233"},"modified":"2016-07-13T13:53:38","modified_gmt":"2016-07-13T16:53:38","slug":"vol1-no1-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/","title":{"rendered":"Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes<\/p>\n<p><strong>Autores:<\/strong> Pedreira, Carlos E.; Fari\u00f1as, Mayte; Pedroza, Luiz Carlos<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> In this paper a new connectionist architecture is proposed. The architecture is trained by a scheme based on partition of the function domain, approximating the generator function by a set of very simple supporting functions. This method has an interesting ability concerning interpolation. A synthetic experiment and a real data missing data.<\/p>\n<p><strong>Palavras-chave:<\/strong> Neural network; Interpolation; Missing values; Function approximation<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 9<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol1-no1-art3\">10.21528\/lmln-vol1-no1-art3<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol1-no1-art3.pdf\" rel=\"\">vol1-no1-art3.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol1-no1-art3.bib\" rel=\"\">vol1-no1-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes Autores: Pedreira, Carlos E.; Fari\u00f1as, Mayte; Pedroza, Luiz Carlos Resumo: In this paper a new connectionist architecture is proposed. The architecture is trained by a scheme based on <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":30,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-233","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Redes neurais locais-globais - uma aplica\u00e7\u00e3o ao problema de dados faltantes - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Redes neurais locais-globais - uma aplica\u00e7\u00e3o ao problema de dados faltantes - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes Autores: Pedreira, Carlos E.; Fari\u00f1as, Mayte; Pedroza, Luiz Carlos Resumo: In this paper a new connectionist architecture is proposed. The architecture is trained by a scheme based on Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\",\"name\":\"Redes neurais locais-globais - uma aplica\u00e7\u00e3o ao problema de dados faltantes - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-13T16:53:38+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 1 &#8211; N\u00famero 1\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Redes neurais locais-globais - uma aplica\u00e7\u00e3o ao problema de dados faltantes - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol1-no1\/vol1-no1-art3\/","og_locale":"pt_BR","og_type":"article","og_title":"Redes neurais locais-globais - uma aplica\u00e7\u00e3o ao problema de dados faltantes - Learning and NonLinear Models","og_description":"T\u00edtulo: Redes neurais locais-globais &#8211; uma aplica\u00e7\u00e3o ao problema de dados faltantes Autores: Pedreira, Carlos E.; Fari\u00f1as, Mayte; Pedroza, Luiz Carlos Resumo: In this paper a new connectionist architecture is proposed. 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