{"id":353,"date":"2016-07-14T14:31:38","date_gmt":"2016-07-14T17:31:38","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=353"},"modified":"2016-07-14T14:31:38","modified_gmt":"2016-07-14T17:31:38","slug":"vol4-no1-art3","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/","title":{"rendered":"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network"},"content":{"rendered":"

T\u00edtulo:<\/strong> Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network<\/p>\n

Autores:<\/strong> Rautenberg, Sandro; Medeiros, Luciano F. de; Igarashi, Wagner; Gauthier, Fernando O.; Bastos, Rog\u00e9rio C.; Todesco, Jos\u00e9 L.<\/p>\n

Resumo:<\/strong> This paper presents some of the procedures adopted in the construction of a Radial Basis Function Neural Network by iteratively applying the aiNET, an Artificial Immune Systems Algorithm. These procedures have shown to be effective in terms of i) the free determination of centroids inspired by an immune heuristics; and ii) the achievement of appropriate minimal square errors after a number of iterations. Experimental and empirical results are compared aiming at confirming (or not) some hypotheses.<\/p>\n

Palavras-chave:<\/strong> Artificial Immune Systems; Radial Basis Function Neural Network; aiNET<\/p>\n

P\u00e1ginas:<\/strong> 8<\/p>\n

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol4-no1-art3<\/a><\/p>\n

Artigo em PDF:<\/strong> vol4-no1-art3.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol4-no1-art3.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network Autores: Rautenberg, Sandro; Medeiros, Luciano F. de; Igarashi, Wagner; Gauthier, Fernando O.; Bastos, Rog\u00e9rio C.; Todesco, Jos\u00e9 L. Resumo: This paper presents some Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":316,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-353","page","type-page","status-publish","hentry"],"yoast_head":"\nIterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network - 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\/vol4-no1\/vol4-no1-art3\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network Autores: Rautenberg, Sandro; Medeiros, Luciano F. de; Igarashi, Wagner; Gauthier, Fernando O.; Bastos, Rog\u00e9rio C.; Todesco, Jos\u00e9 L. Resumo: This paper presents some Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/\" \/>\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\/vol4-no1\/vol4-no1-art3\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/\",\"name\":\"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-14T17:31:38+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/vol4-no1-art3\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning & Nonlinear Models – L&NLM – Volume 4 – N\u00famero 1\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no1\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network\"}]},{\"@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":"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network - 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\/vol4-no1\/vol4-no1-art3\/","og_locale":"pt_BR","og_type":"article","og_title":"Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network - Learning and NonLinear Models","og_description":"T\u00edtulo: Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network Autores: Rautenberg, Sandro; Medeiros, Luciano F. de; Igarashi, Wagner; Gauthier, Fernando O.; Bastos, Rog\u00e9rio C.; Todesco, Jos\u00e9 L. 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