Neuro Fuzzy Networks
Mostrando 1-12 de 32 artigos, teses e dissertações.
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1. Sistemas de detecção de intrusão com técnicas de inteligência artificial / Intrusion detection systems with artificial inteligence technics
Due the increase of the amount of important information on computer networks, security has became primordial to ensure the integrity, confidentiality and availability of data traffic. To improve security, there are useful tools such as Firewalls and Intrusion Detection Systems (IDS). Currently, methods of Artificial Intelligence (AI) are used to improve thes
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/02/2011
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2. Estimador neuro-fuzzy de velocidade aplicado ao controle vetorial sem sensores de motores de indução trifásicos. / Neuro-fuzzy speed estimator applied to sensorless induction motor drives.
Este trabalho apresenta uma alternativa ao controle vetorial de motores de indução, sem a utilização de sensores para realimentação da velocidade mecânica do motor. Ao longo do tempo, diversas técnicas de controle vetorial têm sido propostas na literatura. Dentre elas está a técnica de controle por orientação de campo (FOC), muito utilizada na i
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 05/07/2010
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3. Application of neuro-fuzzy systems for the solution of radiative transfer inverse problems / Aplicação de redes neuro-fuzzy para a solução de problemas inversos em transferência radiativa
In this thesis is proposed an implementation for solving the inverse problem with the estimates of radiative properties (the single scattering albedo, the optical thickness of the media and the diffuse reflectivities) by the values of the intensities of radiation that leaves the participant medium using a hybrid approach of neuro-fuzzy systems, which combine
Publicado em: 2010
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4. Fuzzy inference systems approach for long term hydrothermal scheduling / Sistema de inferencia nebulosa ao planejamento da operação hidrotermica de medio prazo
The long term hydrothermal scheduling lies in the optimization of the water resource usage through the maximization of the hydroelectric production and the minimization of the thermal plants operation. Its goal is to assure an economic and reliable load supply throughout the study stages. This problem can be characterized by exhibiting a complex nature, sinc
Publicado em: 2009
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5. Multi-modelo de referência para planejamento em espectro de alta complexidade / A multi-model reference for planning high complexity spectrum
This thesis intends to contribute to the planning guidelines in the field of distance education (DE). Thus, it develops a multi-model reference proposal supported by the definition of a highly complex spectrum of strategies that considers a sequence of systematic procedures in the following phases: (i) Determining the information needs in two stages: (a) ide
Publicado em: 2009
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6. Arquitetura híbrida inteligente para navegação autônoma de robôs / Intelligent hybrid architecture for robot autonomous navigation
This project consists in a autonomous navigation system based on modular neuro-fuzzy networks that is able to guide the robot in unknown environments from a initial point to the goal. Initially, the system is not able to navigate, but after a trial and error period and some collisions, it improves in guiding the robot to the goal efficiently. A intelligent h
Publicado em: 2007
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7. MODELOS NEURO-FUZZY HIERÁRQUICOS BSP DO TIPO 2 / TYPE-2 HIERARCHICAL NEURO-FUZZY BSP MODEL
The objective of this thesis is to create a new type-2 fuzzy inference system for the treatment of uncertainties with automatic learning and that provides an interval of confidence for its defuzzified output through the calculation of corresponding type-reduced sets. In order to attain this objective, this new model combines the paradigms of the modelling of
Publicado em: 2007
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8. Sistema neuro-fuzzy para classificaÃÃo de calcificaÃÃes em mamogramas
In Brazil breast cancer is the leading cause of death by cancer for women. Since the causes are unknown, it cannot be prevented. The presence of calcification clusters is an important sign for breast carcinoma detection. Mammography is one of the most reliable exams for breast cancer detection. Early detection is the key issue for breast cancer control and c
Publicado em: 2007
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9. Rede Neural Difusa com T-normas Diferenciáveis e Interativas
Fuzzy sets are used in the representation of vague and imprecise knowledge. Neural networks, besides their computational parallelism, also have learning capabilities. The combination of such both paradigms is an attempt to congregate their benefits in an integrated system, such a fuzzy neural network. T-norms are functions that actuate like intersection and
Publicado em: 2007
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10. Controlador supervisório inteligente para sistemas híbridos eólico-diesel-bateria de pequeno porte. / An intelligent supervisory controller for wind-diesel-battery systems.
This work presents the development and simulation results of an Intelligent Supervisory Controller for hybrid power systems. The controller uses artificial intelligence techniques, based on artificial neural networks and neuro-fuzzy logic, to forecast both wind power and load, and to take optimal dispatch decisions for hybrid power systems. The main controll
Publicado em: 2007
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11. Prediction of time series using architecture based on neuro-fuzzy systems. / Predição não-linear de séries temporais usando sistemas de arquitetura neuro-fuzzy.
This master dissertation has as main objetive applies systems of neuro-fuzzy architecture for functions prediction in serie times. The architecture carried out is the Adaptive Neuro-Fuzzy Inference System (ANFIS). This architecture is a kind of Fuzzy Inference Systems (FIS) implemen- tation under a paradigm of arti¯cial neural networks. Making use of techno
Publicado em: 2006
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12. Técnicas inteligentes hídridas para o controle de sistemas não lineares
Neste trabalho é mostrado tanto o desenvolvimento quanto as características de algumas das principais técnicas utilizadas para o controle inteligente de sistemas. Partindo de um controlador fuzzy foi possível aplicar técnicas de aprendizagem, similares às utilizadas pelas Redes Neurais Artificiais (RNA s), evoluir para os modelos neuro-fuzzy ANFIS e NE
Publicado em: 2006