{"id":549,"date":"2016-07-17T19:12:25","date_gmt":"2016-07-17T22:12:25","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=549"},"modified":"2016-07-17T19:12:25","modified_gmt":"2016-07-17T22:12:25","slug":"vol9-no3-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no3\/vol9-no3-art5\/","title":{"rendered":"An Overview on the Use of Neural Networks for Data Mining Tasks"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> An Overview on the Use of Neural Networks for Data Mining Tasks<\/p>\n<p><strong>Autores:<\/strong> Ebecken, Nelson F. F.<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> This overview provides comments in the main aspects related to some of the most common neural network models in use today for data mining tasks. Despite of the different possibilities of learning paradigm, network architecture, network connectivity and learning algorithm the focus is concentrated in multilayer feed-forward networks with back propagation learning, radial basis function network and self organizing map network. The search for the more efficient models, the extraction of the hidden knowledge and the data mining application characteristics are examined.<\/p>\n<p><strong>Palavras-chave:<\/strong> Neurocomputing; Neural Classifiers; Self-Organizing Maps; Nonlinear Classifiers; Time Series Data Mining<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 11<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol9-no3-art5\">10.21528\/lmln-vol9-no3-art5<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no3-art5.pdf\" rel=\"\">vol9-no3-art5.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol9-no3-art5.bib\" rel=\"\">vol9-no3-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: An Overview on the Use of Neural Networks for Data Mining Tasks Autores: Ebecken, Nelson F. F. Resumo: This overview provides comments in the main aspects related to some of the most common neural network models in use today <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol9-no3\/vol9-no3-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":538,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-549","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>An Overview on the Use of Neural Networks for Data Mining Tasks - 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\/vol9-no3\/vol9-no3-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Overview on the Use of Neural Networks for Data Mining Tasks - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: An Overview on the Use of Neural Networks for Data Mining Tasks Autores: Ebecken, Nelson F. F. 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