Mostrar registro simples

dc.creatorAlbuquerque Filho, Francisco Sales de
dc.date.accessioned2017-06-01T18:20:37Z
dc.date.accessioned2023-03-22T17:28:03Z
dc.date.available2012-12-17
dc.date.available2023-03-22T17:28:03Z
dc.date.issued2012-10-17
dc.identifier.citationALBUQUERQUE FILHO, Francisco Sales de. Sistemas inteligentes aplicados à análise de riscos ambientes. 2012. 88 f. Dissertação (Mestrado em Desenvolvimento de Processos Ambientais) - Universidade Católica de Pernambuco, Recife, 2012.por
dc.identifier.urihttps://hdl.handle.net/20.500.12032/76151
dc.description.abstractIn order to forecast and classify environmental risks, artificial intelligence (AI) techniques were applied to the air quality problem. Predetermined gaseous pollutant concentration data were acquired with the intent of predicting the risks. Such concentrations are denominated air quality indicators, and are regulated all around the world, including by brazilian law. The data concerning these indicators were used in a model that consists of two AI techniques: artificial neural networks and particle swarm optimization. The air quality indicators concentration prediction resulted in one day ahead values. The risk modeling utilizes the predictions as inputs values, correlating them in order to obtain the resulting air quality and, the risk that such quality has upon the human health. The risk model is based on a third AI technique, called fuzzy logic. The present work obtained two main results. The first was the accurate forecasts made by the prediction model. The second was the achievement of a coherent classification of the risks.eng
dc.formatapplication/pdfpor
dc.languageporpor
dc.publisherUniversidade Católica de Pernambucopor
dc.rightsAcesso Abertopor
dc.subjectavaliação de riscos ambientaispor
dc.subjectpoluição - aspectos ambientaispor
dc.subjectredes neurais (computação)por
dc.subjectinteligência artificialpor
dc.subjectlógica difusapor
dc.subjectdissertaçõespor
dc.subjectenvironmental risk assessmenteng
dc.subjectpollution - environmental aspectseng
dc.subjectneural networks (computer science)eng
dc.subjectartificial intelligenceeng
dc.subjectnonlinear logiceng
dc.subjectdissertationseng
dc.titleSistemas inteligentes aplicados à análise de riscos ambientespor
dc.typeDissertaçãopor


Arquivos deste item

ArquivosTamanhoFormatoVisualização
dissertacao_francisco_sales.pdf1.424Mbapplication/pdfVisualizar/Abrir

Este item aparece na(s) seguinte(s) coleção(s)

Mostrar registro simples


© AUSJAL 2022

Asociación de Universidades Confiadas a la Compañía de Jesús en América Latina, AUSJAL
Av. Santa Teresa de Jesús Edif. Cerpe, Piso 2, Oficina AUSJAL Urb.
La Castellana, Chacao (1060) Caracas - Venezuela
Tel/Fax (+58-212)-266-13-41 /(+58-212)-266-85-62

Nuestras redes sociales

facebook Facebook

twitter Twitter

youtube Youtube

Asociaciones Jesuitas en el mundo
Ausjal en el mundo AJCU AUSJAL JESAM JCEP JCS JCAP