Hybrid Intelligent Systems
Mostrando 25-28 de 28 artigos, teses e dissertações.
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25. Desenvolvimento de uma plataforma hÃbrida para descoberta de conhecimento em bases de dados
Artificial Neural Networks (ANN) have successfully been used in tasks as the mapping of complex functions and pattern recognition. This success is due to the ANN ability to make calculations of complicated and undetermined data, learn from examples, generalize the learned information, extract patterns and discover tendencies. Despite these advantages, it is
Publicado em: 2004
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26. AnÃlise da disponibilidade de malhas de completaÃÃo inteligente em poÃos de petrÃleo
This research aims to model and simulate the availability of intelligent completation systems in oil wells. To reach this goal hybrid modeling frameworks comprised of Markovian process and Bayesian inference will be employed. Due to the fact that it is a new technology, still in a development stage, the rates of transitions in Markovian Models of meshes of i
Publicado em: 2004
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27. 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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28. Uma metodologia de projeto de controladores híbridos inteligentes com aplicações no controle ativo de vibrações mecânicas / A design methodology of intelligent hybrid controllers with applications to the active vibrations control in mechanical systems
This work proposes a design methodology of fuzzy controllers for systems that do not offer any intuitive information to the control designer, in order to provide guidelines to construct the fuzzy conventional controllers. The design methodology involves the application of artificial intelligence techniques, where the fuzzy controllers are obtained by an opti
Publicado em: 2001