{"id":603,"date":"2016-07-18T18:09:00","date_gmt":"2016-07-18T21:09:00","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=603"},"modified":"2016-07-18T18:09:00","modified_gmt":"2016-07-18T21:09:00","slug":"vol10-no3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/","title":{"rendered":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 10 &#8211; N\u00famero 3"},"content":{"rendered":"<p>Volume 10 &#8211; N\u00famero 3 &#8211; 2012<\/p>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no3-art0.pdf\" target=\"_blank\" rel=\"noopener\">CAPA<\/a><\/p>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art1\" target=\"_blank\" rel=\"noopener\">Artigo 1 &#8211; EVOLVING FUNCTIONAL FUZZY MODEL FOR TERM STRUCTURE OF INTEREST RATES FORECASTING<\/a><\/p>\n<ul>\n<ul>Leandro Maciel; Fernando Gomide; Rosangela Ballini<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art2\" target=\"_blank\" rel=\"noopener\">Artigo 2 &#8211; INFER\u00caNCIA BAYESIANA NO DESENVOLVIMENTO DE PREVISORES NEURAIS DE VAZ\u00c3O DI\u00c1RIA UTILIZANDO INFORMA\u00c7\u00d5ES DE PRECIPITA\u00c7\u00c3O<\/a><\/p>\n<ul>\n<ul>Caio Monteiro Leoc\u00e1dio; Vitor Hugo Ferreira<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art3\" target=\"_blank\" rel=\"noopener\">Artigo 3 &#8211; MODELOS DE INTELIG\u00caNCIA COMPUTACIONAL PARA GERA\u00c7\u00c3O DE S\u00c9RIES SINT\u00c9TICAS DE VAZ\u00d5ES M\u00c9DIAS MENSAIS<\/a><\/p>\n<ul>\n<ul>Ricardo Menezes Salgado; Ivette Luna; Rosangela Ballini; Secundino Soares; Donato da Silva Filho<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art4\" target=\"_blank\" rel=\"noopener\">Artigo 4 &#8211; AN\u00c1LISE DO DESEMPENHO DE REDES NEURAIS ARTIFICIAIS NO PREENCHIMENTO DE FALHAS EM S\u00c9RIES DE PRECIPITA\u00c7\u00c3O DI\u00c1RIA<\/a><\/p>\n<ul>\n<ul>Maristela de Salles S. Almeida; Ricardo Carvalho de Almeida<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art5\" target=\"_blank\" rel=\"noopener\">Artigo 5 &#8211; ECHO STATE NETWORKS IN SEASONAL STREAMFLOW SERIES PREDICTION<\/a><\/p>\n<ul>\n<ul>Hugo Valadares Siqueira; Levy Boccato; Romis Attux; Christiano Lyra Filho<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no3\/vol10-no3-art6\" target=\"_blank\" rel=\"noopener\">Artigo 6 &#8211; A QUANTUM-INSPIRED EVOLUTIONARY LEARNING PROCESS TO DESIGN DILATATION-EROSION PERCEPTRONS FOR FINANCIAL FORECASTING<\/a><\/p>\n<ul>\n<ul>Ricardo de A. Ara\u00fajo; Adriano L. I. Oliveira; S\u00e9rgio Soares; Silvio Meira<\/ul>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Volume 10 &#8211; N\u00famero 3 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; EVOLVING FUNCTIONAL FUZZY MODEL FOR TERM STRUCTURE OF INTEREST RATES FORECASTING Leandro Maciel; Fernando Gomide; Rosangela Ballini &nbsp; Artigo 2 &#8211; INFER\u00caNCIA BAYESIANA NO DESENVOLVIMENTO DE PREVISORES <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":23,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-603","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>Learning &amp; Nonlinear Models - L&amp;NLM - Volume 10 - N\u00famero 3 - 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\/vol10-no3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Learning &amp; Nonlinear Models - L&amp;NLM - Volume 10 - N\u00famero 3 - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Volume 10 &#8211; N\u00famero 3 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; EVOLVING FUNCTIONAL FUZZY MODEL FOR TERM STRUCTURE OF INTEREST RATES FORECASTING Leandro Maciel; Fernando Gomide; Rosangela Ballini &nbsp; Artigo 2 &#8211; INFER\u00caNCIA BAYESIANA NO DESENVOLVIMENTO DE PREVISORES Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/\" \/>\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\/vol10-no3\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/\",\"name\":\"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 3 - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-18T21:09:00+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/#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 10 &#8211; N\u00famero 3\"}]},{\"@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":"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 3 - 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\/vol10-no3\/","og_locale":"pt_BR","og_type":"article","og_title":"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 3 - Learning and NonLinear Models","og_description":"Volume 10 &#8211; N\u00famero 3 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; EVOLVING FUNCTIONAL FUZZY MODEL FOR TERM STRUCTURE OF INTEREST RATES FORECASTING Leandro Maciel; Fernando Gomide; Rosangela Ballini &nbsp; Artigo 2 &#8211; INFER\u00caNCIA BAYESIANA NO DESENVOLVIMENTO DE PREVISORES Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/","og_site_name":"Learning and NonLinear Models","twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/","name":"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 3 - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2016-07-18T21:09:00+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no3\/#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 10 &#8211; N\u00famero 3"}]},{"@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\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/603","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=603"}],"version-history":[{"count":0,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/603\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/23"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}