{"id":599,"date":"2016-07-18T17:56:03","date_gmt":"2016-07-18T20:56:03","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=599"},"modified":"2016-07-18T17:56:03","modified_gmt":"2016-07-18T20:56:03","slug":"vol10-no2-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no2\/vol10-no2-art5\/","title":{"rendered":"Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas<\/p>\n<p><strong>Autores:<\/strong> Aquino, Francisco W. C.; Campos, Gustavo A. de Lima; Souza, Jerffeson T. de; Rodrigues Neto, Abner<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Este trabalho busca apresentar um m\u00e9todo para previs\u00e3o de s\u00e9ries temporais dotado de v\u00e1rios previsores especializados em classes de dados (clusters) distintas com um erro m\u00e9dio atrelado \u00e0s mesmas. A rede previsora de cada cluster \u00e9 gerada automaticamente (considerando sua estrutura e outros par\u00e2metros, como janela de tempo o os atributos), sendo treinada com um conjunto de exemplos representativos e os mais semelhantes poss\u00edveis. V\u00e1rias estrat\u00e9gias s\u00e3o abordadas seguindo essa ideia at\u00e9 a defini\u00e7\u00e3o de uma que, dependendo dos dados de entrada, seja decidida se ser\u00e1 prevista por uma rede neural simples ou um complexo comit\u00ea de m\u00e1quinas.<\/p>\n<p><strong>Palavras-chave:<\/strong> Previs\u00e3o; s\u00e9ries temporais; clusteriza\u00e7\u00e3o; backpropagation; comit\u00ea de m\u00e1quinas<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 10<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol10-no2-art5\">10.21528\/lmln-vol10-no2-art5<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no2-art5.pdf\" rel=\"\">vol10-no2-art5.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol10-no2-art5.bib\" rel=\"\">vol10-no2-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas Autores: Aquino, Francisco W. C.; Campos, Gustavo A. de Lima; Souza, Jerffeson T. de; Rodrigues Neto, Abner Resumo: Este trabalho busca apresentar um m\u00e9todo para previs\u00e3o <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol10-no2\/vol10-no2-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":585,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-599","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>Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas - 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-no2\/vol10-no2-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Previs\u00e3o de S\u00e9ries Temporais com Clusteriza\u00e7\u00e3o, An\u00e1lise de Previsores e Comit\u00ea de M\u00e1quinas Autores: Aquino, Francisco W. 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