Quadtree Model
Mostrando 1-4 de 4 artigos, teses e dissertações.
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1. Eficiência de Compressive Sensing em modelo quadtree em imagens na presença de ruído
Esta pesquisa é do tipo quantitativa experimental e buscou investigar o quanto a eficiência do algoritmo CoSaMP modificado segundo a teoria de Compressive Sensing (CS) baseado em modelo QuadTree altera quando aplicado em imagens com ruído de quantização e esparsidade. O objetivo desta dissertação foi avaliar o impacto dos ruídos de quantização e de
Publicado em: 2010
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2. SISTEMAS IMUNOLÓGICOS ARTIFICIAIS APLICADOS À DETECÇÃO DE FALHAS / ARTIFICIAL IMMUNE SYSTEMS APPLIED TO FAULT DETECTION
This work investigates fault detection methods based on Artificial Immune Systems, specifically the negative selection algorithm (NSA) and other self/nonself recognition techniques. First, there was proposed a representation scheme based on hyperspheres with variable center and radius, and three models, which are very capable to generate detectors, based on
Publicado em: 2006
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3. HIERARQUICAL NEURO-FUZZY MODELS BASED ON REINFORCEMENT LEARNING FOR INTELLIGENT AGENTS / NOVOS MODELOS NEURO-FUZZY HIERÁRQUICOS COM APRENDIZADO POR REFORÇO PARA AGENTES INTELIGENTES
This thesis investigates neuro-fuzzy hybrid models for automatic learning of actions taken by agents. The objective of these models is to provide an agent with intelligence, making it capable of acquiring and retaining knowledge and of reasoning (infer an action) by interacting with its environment. Learning in these models is performed by a non-supervised p
Publicado em: 2003
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4. HIERARCHICAL NEURO-FUZZY MODELS / MODELOS NEURO-FUZZY HIERÁRQUICOS
This dissertation presents a new proposal of neurofuzzy systems (models), which present, in addition to the learning capacity (which are common to the neural networks and neurofuzzy systems) the following features: learning of the structure; the use of recursive partitioning; a greater number of inputs than usually allowed in neurofuzzy systems; and hierarch
Publicado em: 1999