{"id":433,"date":"2016-07-14T17:27:37","date_gmt":"2016-07-14T20:27:37","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=433"},"modified":"2016-07-14T17:27:37","modified_gmt":"2016-07-14T20:27:37","slug":"vol6-no2-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no2\/vol6-no2-art5\/","title":{"rendered":"Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis<\/p>\n<p><strong>Autores:<\/strong> Maia, J. Everardo Bessa; Barreto, Guilherme A.; Coelho, Andr\u00e9 L. V.<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Este trabalho aborda a forma\u00e7\u00e3o de mapas topol\u00f3gicos (MTs) auto-organiz\u00e1veis por otimiza\u00e7\u00e3o direta de uma nova fun\u00e7\u00e3o de aptid\u00e3o, propondo para este fim um algoritmo evolucion\u00e1rio customizado. Este algoritmo induz \u00e0 forma\u00e7\u00e3o de um mapeamento de caracter\u00edsticas topologicamente correto e com baixo erro de quantiza\u00e7\u00e3o. A abordagem proposta adota uma fun\u00e7\u00e3o de aptid\u00e3o que \u00e9 uma combina\u00e7\u00e3o linear ponderada de figuras de m\u00e9rito que medem dois aspectos da qualidade do mapa: (i) o erro de quantiza\u00e7\u00e3o e (ii) a correla\u00e7\u00e3o entre dist\u00e2ncias correspondentes nos dois espa\u00e7os. O trabalho avalia principalmente o uso do coeficiente de correla\u00e7\u00e3o de Pearson para guiar o ordenamento topol\u00f3gico do mapa. Os mapas resultantes s\u00e3o comparados com o algoritmo SOM de Kohonen, com o algoritmo gen\u00e9tico proposto em [1] e com o algoritmo da subida da encosta iterado. Os experimentos mostram que a abordagem proposta produz mapas com melhores \u00edndices de qualidade que aqueles obtidos pelas outras tr\u00eas abordagens.<\/p>\n<p><strong>Palavras-chave:<\/strong> Forma\u00e7\u00e3o de mapas topol\u00f3gicos; algoritmo SOM; algoritmos evolucion\u00e1rios; preserva\u00e7\u00e3o de topologia; subida da encosta<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 13<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol6-no2-art5\">10.21528\/lmln-vol6-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\/vol6-no2-art5.pdf\" rel=\"\">vol6-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\/vol6-no2-art5.bib\" rel=\"\">vol6-no2-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis Autores: Maia, J. Everardo Bessa; Barreto, Guilherme A.; Coelho, Andr\u00e9 L. V. Resumo: Este trabalho aborda a forma\u00e7\u00e3o de mapas topol\u00f3gicos (MTs) auto-organiz\u00e1veis por otimiza\u00e7\u00e3o direta de uma nova <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no2\/vol6-no2-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":423,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-433","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>Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis - 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\/vol6-no2\/vol6-no2-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Uma Abordagem Evolucion\u00e1ria para a Forma\u00e7\u00e3o de Mapas Topol\u00f3gicos Auto-Organiz\u00e1veis Autores: Maia, J. Everardo Bessa; Barreto, Guilherme A.; Coelho, Andr\u00e9 L. V. 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Everardo Bessa; Barreto, Guilherme A.; Coelho, Andr\u00e9 L. V. 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