{"id":642,"date":"2016-07-19T17:22:39","date_gmt":"2016-07-19T20:22:39","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=642"},"modified":"2016-07-19T17:22:39","modified_gmt":"2016-07-19T20:22:39","slug":"vol11-no1-art4","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol11-no1\/vol11-no1-art4\/","title":{"rendered":"A Swarm-based Evolutionary Morphological Approach for Binary Classification Problems"},"content":{"rendered":"

T\u00edtulo:<\/strong> A Swarm-based Evolutionary Morphological Approach for Binary Classification Problems<\/p>\n

Autores:<\/strong> Ara\u00fajo, Ricardo de A.; Oliveira, Adriano L. I.; Meira, Silvio<\/p>\n

Resumo:<\/strong> In this work we propose a swarm-based evolutionary morphological approach to deal with binary classification problems. It consists of a hybrid neuron based on principles of mathematical morphology and lattice theory, referred to as dilation-erosion-linear perceptron (DELP). We also present a swarm-based evolutionary learning process, called DELP(PSO), using a particle swarm optimizer (PSO) to design the DELP model, due to some drawbacks from gradient estimation of morpho- logical operators in the classical learning process of the DELP. Besides, we conduct an experimental analysis using two relevant binary classification problems and the obtained results are discussed and compared with those obtained by established techniques in the literature.<\/p>\n

Palavras-chave:<\/strong> Dilatation-Erosion-Linear Perceptron; Evolutionary Learning; Particle Swarm Optimizer; Binary Classification Problems; Mathematical Morphology; Lattice Theory<\/p>\n

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

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol11-no1-art4<\/a><\/p>\n

Artigo em PDF:<\/strong> vol11-no1-art4.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol11-no1-art4.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: A Swarm-based Evolutionary Morphological Approach for Binary Classification Problems Autores: Ara\u00fajo, Ricardo de A.; Oliveira, Adriano L. I.; Meira, Silvio Resumo: In this work we propose a swarm-based evolutionary morphological approach to deal with binary classification problems. It consists Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":634,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-642","page","type-page","status-publish","hentry"],"yoast_head":"\nA Swarm-based Evolutionary Morphological Approach for Binary Classification Problems - 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-no1\/vol11-no1-art4\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Swarm-based Evolutionary Morphological Approach for Binary Classification Problems - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: A Swarm-based Evolutionary Morphological Approach for Binary Classification Problems Autores: Ara\u00fajo, Ricardo de A.; Oliveira, Adriano L. I.; Meira, Silvio Resumo: In this work we propose a swarm-based evolutionary morphological approach to deal with binary classification problems. 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