Sistema Híbrido de Inferência Baseado em Análise de Componentes Principais e Redes Neurais Artificiais Aplicado a Plantas de Processamento de Gás Natural
Nowadays, where the market competition requires products with better quality and a constant search for cost savings and a better use of raw materials, the research for more efficient control strategies becomes vital. In Natural Gas Processin Units (NGPUs), as in the most chemical processes, the qual...
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フォーマット: | Dissertação |
言語: | por |
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Universidade Federal do Rio Grande do Norte
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オンライン・アクセス: | https://repositorio.ufrn.br/jspui/handle/123456789/15309 |
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