{"id":654,"date":"2016-07-19T17:38:20","date_gmt":"2016-07-19T20:38:20","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=654"},"modified":"2016-07-19T17:38:20","modified_gmt":"2016-07-19T20:38:20","slug":"vol11-no2-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/","title":{"rendered":"Training a Neural Network to Detect Patterns Associated with Severe Weather"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Training a Neural Network to Detect Patterns Associated with Severe Weather<\/p>\n<p><strong>Autores:<\/strong> Lima, Glauston R. T. de; Stephany, Stephan<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Early detection of severe convective events is essential to take preventive measures in order to reduce the related negative impacts. However, the increasing amount of data that meteorologists need to analyze nowadays precludes the chances of forecasting such events. Hence, the development of advanced data mining tools to support weather forecasting became a current research topic in Meteorology. This work presents the results obtained with an artificial neural network that was designed to recognize atmospheric patterns associated to severe convective activity. The network was trained with patterns given by a set of selected meteorological variables values of the numerical weather forecasting model Eta. The classes of atmospheric convective activity are defined by values of density of occurrence of atmospheric electrical discharges. It is assumed that such density can be correlated to the level of convective activity. The network architecture and training algorithm are based on heuristics derived from previous studies of the authors. Once validated, the proposed neural classifier would be able to screen the Eta model outputs and assist meteorologists in the early detection of severe convective events. In addition, it would also assess the Eta model skill to predict such events. In a first approach, only two data classes are considered, corresponding to severe convective activity and to moderate\/weak\/absent convective activity. The convenience of defining more classes will be evaluated in further work. The classification results are promising.<\/p>\n<p><strong>Palavras-chave:<\/strong> Supervised neural network; data mining; classification; convective activity; weather forecasting<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 30<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol11-no2-art5\">10.21528\/lmln-vol11-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\/vol11-no2-art5.pdf\" rel=\"\">vol11-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\/vol11-no2-art5.bib\" rel=\"\">vol11-no2-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Training a Neural Network to Detect Patterns Associated with Severe Weather Autores: Lima, Glauston R. T. de; Stephany, Stephan Resumo: Early detection of severe convective events is essential to take preventive measures in order to reduce the related negative <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":644,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-654","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>Training a Neural Network to Detect Patterns Associated with Severe Weather - 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\/vol11-no2\/vol11-no2-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Training a Neural Network to Detect Patterns Associated with Severe Weather - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Training a Neural Network to Detect Patterns Associated with Severe Weather Autores: Lima, Glauston R. T. de; Stephany, Stephan Resumo: Early detection of severe convective events is essential to take preventive measures in order to reduce the related negative Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/\" \/>\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\/vol11-no2\/vol11-no2-art5\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/\",\"name\":\"Training a Neural Network to Detect Patterns Associated with Severe Weather - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-19T20:38:20+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/vol11-no2-art5\/#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 11 &#8211; N\u00famero 2\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no2\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Training a Neural Network to Detect Patterns Associated with Severe Weather\"}]},{\"@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":"Training a Neural Network to Detect Patterns Associated with Severe Weather - 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\/vol11-no2\/vol11-no2-art5\/","og_locale":"pt_BR","og_type":"article","og_title":"Training a Neural Network to Detect Patterns Associated with Severe Weather - Learning and NonLinear Models","og_description":"T\u00edtulo: Training a Neural Network to Detect Patterns Associated with Severe Weather Autores: Lima, Glauston R. 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