Neurofuzzy Logic
Mostrando 1-12 de 15 artigos, teses e dissertações.
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1. 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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2. 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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3. Previsão de vazão utilizando modelos de inteligência artificial
Este trabalho apresenta a previsão de vazão na bacia do rio São Francisco, utilizando-se de quatro modelos baseado nas principais ferramentas de inteligência artificiais: RNA (Redes Neurais Artificiais) e lógica fuzzy. No primeiro modelo foram escolhidas as RNAs para prever a vazão mensal com horizonte de um ano. No segundo modelo, utilizou-se a RNA e
Publicado em: 2009
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4. Abordagem neurofuzzy para modelagem de sistemas dinamicos não lineares / Neurofuzzy approach for nonlinear dynamical systems modeling
This work suggests a systematic procedure to develop models of complex nonlinear dynamical systems using neural fuzzy networks. The neural fuzzy networks are able to extract knowledge from input/output data and to encode it explicitly in the form of if-then rules. Therefore, linguistic models are obtained in a form suitable for human understanding. Two new c
Publicado em: 2008
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5. Controle com lógica Fuzzy e Neurofuzzy aplicada à análise e programação de robôs móveis com visualização e simulação 3D / Fuzzy and Neurofuzzy controls applied to analise and programming mobile robots with 3D visualization and simulation
This work has as objective the study of an area of the robotics named mobile robotics. A mobile robot must navigate in a safe way and this is the main motivation of this work. To do that a mobile robotics simulator with 3D visualization was developed. One of the great interests in mobile robotics is using artificial intelligence algorithms. The main point of
Publicado em: 2007
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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. 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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8. 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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9. Estudo comparativo entre tecnicas de inteligencia artificial e modelos lineares em determinações quantitativas no infravermelho proximo
In this work it was done a comparative study among the performances of different artificial intelligence techniques and two multivariate linear calibration methods (Multiple Linear Regression and Partial Least Squares), in three different chemical systems for quantitative determination in the near infrared region. The artificial intelligence techniques are a
Publicado em: 2003
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10. MODELAGEM E CONTROLE NEURO-FUZZY DE SISTEMAS DINÂMICOS / NEURO-FUZZY MODELLING AND CONTROL OF DYNAMIC SISTEMS
In this work procedures for neuro-fuzzy modelling and control of dynamic systems are reviewed and a new structure is proposed. In this, modelling and closed-loop control are performed simultaneously by using a neuro-fuzzy approach. In the modelling stage the input space of a dynamic system (plant) is initially divided into a number of fuzzy operating regions
Publicado em: 2002
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11. COMBINING NEURAL NETWORKS AND FUZZY LOGIC FOR APPLICATIONS IN CHARACTER RECOGNITION
This thesis investigates the benefits of combining neural networks and fuzzy logic into neuro-fuzzy systems, especially for applications in character recognition tasks. The research reported in this thesis is divided into two parts. In the first part, two main neurofuzzy systems are described and investigated - the fuzzy MLP and RePART models. The former is
Publicado em: 2001
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12. MINERAÇÃO DE DADOS APLICADA NA SOLUÇÃO DE PROBLEMAS DE MARKETING DIRETO E SEGMENTAÇÃO DE MERCADO / MINERACIÓN DE DATOS PARA LA SOLUCIÓN DE PROBLEMAS DE MARKETING DIRECTO Y SEGMENTACIÓN DE MERCADO / DATA MINING APPLIED TO DIRECT MARKETING AND MARKET SEGMENTATION
Devido à quantidade cada vez maior de dados armazenada pelas instituições, a área de mineração de dados tem se tornado cada vez mais relevante e vários métodos e métodos têm sido propostos de maneira a aumentar sua aplicabilidade e desempenho. Esta dissertação investiga o uso de diversos métodos e técnicas de mineração de dados na modelagem e
Publicado em: 2001