{"id":620,"date":"2016-07-18T18:33:28","date_gmt":"2016-07-18T21:33:28","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=620"},"modified":"2016-07-18T18:33:28","modified_gmt":"2016-07-18T21:33:28","slug":"vol10-no4","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/","title":{"rendered":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 10 &#8211; N\u00famero 4"},"content":{"rendered":"<p>Volume 10 &#8211; N\u00famero 4 &#8211; 2012<\/p>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no4-art0.pdf\" target=\"_blank\" rel=\"noopener\">CAPA<\/a><\/p>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art1\" target=\"_blank\" rel=\"noopener\">Artigo 1 &#8211; GAADT (GENETIC ALGORITHM BASED ON ABSTRACTS DATA TYPES): UMA ABORDAGEM TE\u00d3RICA E APLICATIVA<\/a><\/p>\n<ul>\n<ul>Manoel Agamemnon Lopes; Roberta Vilhena Vieira Lopes<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art2\" target=\"_blank\" rel=\"noopener\">Artigo 2 &#8211; GMDH AND ARTIFICIAL NEURAL NETWORK APPLIED IN AN EXPERIMENTAL REACTOR SENSORS MONITORING<\/a><\/p>\n<ul>\n<ul>Elaine Inacio Bueno; Iraci Martinez Pereira; Antonio Teixeira e Silva<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art3\" target=\"_blank\" rel=\"noopener\">Artigo 3 &#8211; LOW COST GPS\/INS NAVIGATION SYSTEMS WITH ERROR COMPENSATION BY ARTIFICIAL NEURAL NETWORKS<\/a><\/p>\n<ul>\n<ul>Edmundo Alberto Marques Filho; Atair Rios Neto; Helio Koiti Kuga<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art4\" target=\"_blank\" rel=\"noopener\">Artigo 4 &#8211; PROPOSTA DE UM M\u00c9TODO DE CLASSIFICA\u00c7\u00c3O BASEADO EM DENSIDADE PARA A DETERMINA\u00c7\u00c3O DO N\u00daMERO IDEAL DE GRUPOS EM PROBLEMAS DE CLUSTERIZA\u00c7\u00c3O<\/a><\/p>\n<ul>\n<ul>Gustavo Silva Semaan; Marcelo Dib Cruz; Jos\u00e9 Andr\u00e9 de Moura Brito; Luiz Satoru Ochi<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art5\" target=\"_blank\" rel=\"noopener\">Artigo 5 &#8211; AN\u00c1LISES DE TRANSIENTE E DE REGIME PERMANENTE DE UM ALGORITMO DE DESCONVOLU\u00c7\u00c3O CEGA<\/a><\/p>\n<ul>\n<ul>Diego Barreto Haddad; Mariane Rembold Petraglia; Paulo Bulkool Batalheiro<\/ul>\n<\/ul>\n<p>&nbsp;<br \/>\n<a href=\"https:\/\/sbia.org.br\/lnlm\/vol10-no4\/vol10-no4-art6\" target=\"_blank\" rel=\"noopener\">Artigo 6 &#8211; ALGORITMO GEN\u00c9TICO PARA A CLUSTERIZA\u00c7\u00c3O DE GRUPOS DE APRENDIZES UTILIZANDO O INVENT\u00c1RIO DE ESTILOS DE APRENDIZAGEM &#8211; ILS DE FELDER-SOLOMAN<\/a><\/p>\n<ul>\n<ul>Silvio Luiz Castro Silva; Luiz Ant\u00f4nio Nogueira Lorena<\/ul>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Volume 10 &#8211; N\u00famero 4 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; GAADT (GENETIC ALGORITHM BASED ON ABSTRACTS DATA TYPES): UMA ABORDAGEM TE\u00d3RICA E APLICATIVA Manoel Agamemnon Lopes; Roberta Vilhena Vieira Lopes &nbsp; Artigo 2 &#8211; GMDH AND ARTIFICIAL <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/\" 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-620","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 4 - 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-no4\/\" \/>\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 4 - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Volume 10 &#8211; N\u00famero 4 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; GAADT (GENETIC ALGORITHM BASED ON ABSTRACTS DATA TYPES): UMA ABORDAGEM TE\u00d3RICA E APLICATIVA Manoel Agamemnon Lopes; Roberta Vilhena Vieira Lopes &nbsp; Artigo 2 &#8211; GMDH AND ARTIFICIAL Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/\" \/>\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-no4\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/\",\"name\":\"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 4 - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-18T21:33:28+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/#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 4\"}]},{\"@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 4 - 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-no4\/","og_locale":"pt_BR","og_type":"article","og_title":"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 4 - Learning and NonLinear Models","og_description":"Volume 10 &#8211; N\u00famero 4 &#8211; 2012 &nbsp; CAPA &nbsp; Artigo 1 &#8211; GAADT (GENETIC ALGORITHM BASED ON ABSTRACTS DATA TYPES): UMA ABORDAGEM TE\u00d3RICA E APLICATIVA Manoel Agamemnon Lopes; Roberta Vilhena Vieira Lopes &nbsp; Artigo 2 &#8211; GMDH AND ARTIFICIAL Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/","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-no4\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/","name":"Learning & Nonlinear Models - L&NLM - Volume 10 - N\u00famero 4 - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2016-07-18T21:33:28+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no4\/#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 4"}]},{"@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\/620","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=620"}],"version-history":[{"count":0,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/620\/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=620"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}