{"id":270,"date":"2016-07-13T16:18:27","date_gmt":"2016-07-13T19:18:27","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=270"},"modified":"2016-07-13T16:18:27","modified_gmt":"2016-07-13T19:18:27","slug":"vol2-no1-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/","title":{"rendered":"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application"},"content":{"rendered":"

T\u00edtulo:<\/strong> Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application<\/p>\n

Autores:<\/strong> Andrade, Maria Concei\u00e7\u00e3o de; Rios Neto, Atair; Rosa, Reinaldo R.; Sawant, Hanumant S.; Fernandes, Francisco C. R.<\/p>\n

Resumo:<\/strong> In this paper we intend to evaluate the use of Multilayer Perceptron neural networks for a spatiotemporal patterns estimation problem and to compare the performance of the Kalman Filtering with the Backpropagation and the Levenberg-Marquardt training algorithms. The study consists of applying Multilayer Perceptron for estimation of the solar active regions evolution using sequential soft X-ray images observed by the YOHKOH solar satellite telescope. In this application, the performance test is done by using the mean squared error, image visualization and the Gradient Pattern Analysis (GPA) techniques. The last one is based on the operator for characterization of Amplitude Asymmetric Fragmentation (AAF). The AAF operator is being used for the first time for a performance test with an Artificial Neural Network (ANN) applied in spatiotemporal patterns estimation. The results confirm the efficiency and efficacy of ANN as a tool to estimate spatiotemporal patterns in this kind of application. The tests indicate that although the Kalman Filtering showed an efficacy to learn the patterns comparable to those of the Backpropagation and the Levenberg-Marquardt algorithms, it is inefficient from the computational viewpoint in the sense that it takes a longer processing time. In addition, the ANN performance validation tests confirm the utility of the AAF operator for the performance characterization of spatiotemporal patterns estimation algorithms.<\/p>\n

Palavras-chave:<\/strong> Artificial neural networks; supervised training; spatiotemporal series estimation; gradient pattern analysis; non-linear systems; solar physics<\/p>\n

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

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol2-no1-art2<\/a><\/p>\n

Artigo em PDF:<\/strong> vol2-no1-art2.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol2-no1-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application Autores: Andrade, Maria Concei\u00e7\u00e3o de; Rios Neto, Atair; Rosa, Reinaldo R.; Sawant, Hanumant S.; Fernandes, Francisco C. R. Resumo: In this paper we intend to Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":251,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-270","page","type-page","status-publish","hentry"],"yoast_head":"\nSpatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - 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\/vol2-no1\/vol2-no1-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application Autores: Andrade, Maria Concei\u00e7\u00e3o de; Rios Neto, Atair; Rosa, Reinaldo R.; Sawant, Hanumant S.; Fernandes, Francisco C. R. Resumo: In this paper we intend to Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/\" \/>\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\/vol2-no1\/vol2-no1-art2\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/\",\"name\":\"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2016-07-13T19:18:27+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/#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 2 – N\u00famero 1\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application\"}]},{\"@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":"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - 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\/vol2-no1\/vol2-no1-art2\/","og_locale":"pt_BR","og_type":"article","og_title":"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - Learning and NonLinear Models","og_description":"T\u00edtulo: Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application Autores: Andrade, Maria Concei\u00e7\u00e3o de; Rios Neto, Atair; Rosa, Reinaldo R.; Sawant, Hanumant S.; Fernandes, Francisco C. R. Resumo: In this paper we intend to Read More ...","og_url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/","og_site_name":"Learning and NonLinear Models","twitter_card":"summary_large_image","twitter_misc":{"Est. tempo de leitura":"1 minuto"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/","url":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/","name":"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application - Learning and NonLinear Models","isPartOf":{"@id":"https:\/\/sbia.org.br\/lnlm\/#website"},"datePublished":"2016-07-13T19:18:27+00:00","breadcrumb":{"@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/#breadcrumb"},"inLanguage":"pt-BR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/vol2-no1-art2\/#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 2 – N\u00famero 1","item":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol2-no1\/"},{"@type":"ListItem","position":3,"name":"Spatiotemporal Patterns Estimation Using a Multilayer Perceptron Neural Network in a Solar Physics Application"}]},{"@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\/"}}]}},"_links":{"self":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/270","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/comments?post=270"}],"version-history":[{"count":0,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/270\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/pages\/251"}],"wp:attachment":[{"href":"https:\/\/sbia.org.br\/lnlm\/wp-json\/wp\/v2\/media?parent=270"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}