Fuzzy Logic And Artificial Neural Networks
Mostrando 1-12 de 18 artigos, teses e dissertações.
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1. Algoritmo híbrido e inteligente para o diagnóstico das condições operativas de transformadores de potência no contexto da qualidade da energia elétrica / Hybrid intelligent algorithm for the diagnosis of operating conditions of power transformers in the context of power quality
This research aimed to develop an algorithm able to diagnose the operating conditions of power transformers. The variables considered to classify the presented conditions were the normally used by differential protection logic, i.e., the differential current and the harmonic content in the signals in analysis. Moreover, the relationship between some phenomen
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/07/2012
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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. 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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4. Mapeamento do potencial mineral para niquel e ouro no Cinturão Metassedimentar Nova Brasilandia - Rondonia por meio de logica nebulosa (fuzzi) e redes neurais artificiais / Mineral potential mapping for nickel and gold in Nova Brasilandia Metassedimentar Belt - Rondonia trough fuzzy logic and artificial neuraL networks
Analysis and integration of spatial data from different natures, particularly on Geographic Information Systems (GIS), is a well known technique in mineral prospection. The available tools and other ones recently developed can help prospection campaigns where there is not enough geologic and metalogenetic knowledge, as the Nova Brasilândia Metassedimentar B
Publicado em: 2008
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5. Aplicação de técnicas de inteligência artificial visando eficiência energética e estimação de parâmetros em sistemas motrizes industriais / Application of artificial intelligence techniques aiming at energy efficiency and parameter estimation in industrial motor systems
Cabe à investigação do comportamento eletromecânico dos sistemas motrizes existentes numa planta industrial dar subsídios para se ter uma análise enfocando a conservação de energia. Apresenta-se neste trabalho um estudo referente à otimização energética em sistemas motrizes industriais (bomba centrífuga, ventilador centrífugo e correia transpor
Publicado em: 2008
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6. Análise comparativa do desempenho de um Controlador Fuzzy acoplado a um PID Neural sintonizado por um Algoritmo Genético com Controladores Inteligentes Convencionais
On this paper, it is made a comparative analysis among a controller fuzzy coupled to a PID neural adjusted by an AGwith several traditional control techniques, all of them applied in a system of tanks (I model of 2nd order non lineal). With the objective of making possible the techniques involved in the comparative analysis and to validate the contro
Publicado em: 2007
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7. 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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8. 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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9. Application of artificial intelligence techniques for dynamic channel allocation on wireless networks. / Aplicação de técnicas de inteligência artificial na alocação dinâmica de canais em redes sem fio.
In the last years, mobile networks became more important for communication systems infrastructure. One area of great growth is mobile computation, which is performed through radio signals. The amount of available channels rarely is enough to attend the increasing demand. This work presents a solution for the channel allocation topic, a challenging topic in
Publicado em: 2006
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10. SYSTEM DEVELOPMENT TO DETECT COMMERCIAL LOSSES IN ELECTRICAL ENERGY DISTRIBUTION NETWORK / DESENVOLVIMENTO DE SISTEMA PARA DETECÇÃO DE PERDAS COMERCIAIS EM REDES DE DISTRIBUIÇÃO DE ENERGIA ELÉTRICA
Mathematical models commonly used to identify irregularities in measurement are based on percentile reduction analysis of the monthly consumption (normally from 20% to 30%) in relation to the previous months. This method tends to generate imprecise results, since it considers the value of the consumption as a rigid value and, therefore, it does not incorpora
Publicado em: 2005
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11. Extração de conhecimento a partir de redes reurais recorrentes / knowledge extraction from recurrent neural networks
ln this work a method ofknowledge extraction from Recurrent Neural Network is proposed. Express formally the knowledge stored inside an Artificial Neural Network is a great challenge, because such knowledge has to be reformulated and presented by simple and understandable means. Three symbolic formats are presented for the representation of this knowledge: F
Publicado em: 2004
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12. 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