Neuro Fuzzy Systems
Mostrando 25-34 de 34 artigos, teses e dissertações.
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25. 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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26. 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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27. HIERARCHICAL NEURO-FUZZY BSP-MAMDANI MODEL / MODELO NEURO-FUZZY HIERÁRQUICOS BSP MAMDANI
Esta dissertação investiga a utilização de sistemas Neuro- Fuzzy Hierárquicos BSP (Binary Space Partitioning) para aplicações em classificação de padrões, previsão, sistemas de controle e extração de regras fuzzy. O objetivo é criar um modelo Neuro-Fuzzy Hierárquico BSP do tipo Mamdani a partir do modelo Neuro-Fuzzy Hierárquico BSP Class (NFH
Publicado em: 2002
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28. 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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29. UM SISTEMA DE DIAGNÓSTICO DE EQUIPAMENTOS ELÉTRICOS DE ALTA TENSÃO COM BASE NA OCORRÊNCIA DE DESCARGAS PARCIAIS / A DIAGNOSTICS SYSTEM OF HIGH VOLTAGE POWER APPARATUS BASED IN PARTIAL DISCHARGES OCURRENCE
High voltage (HV) power apparatus are fundamental parts in the industrial process. It is also well Known that electrical insulation systems are the parts that present more problems through the life cycle of an HV apparatus. The dielectric properties of materials are altered during operation time and for this reason they should be monitored. Among the main an
Publicado em: 2001
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30. NEURO-FUZZY BSP HIERARCHICAL SYSTEM FOR TIME FORECASTING AND FUZZY RULE EXTRACTION DOR DATA MINING APPLICATONS / SISTEMA NEURO-FUZZY HIERÁRQUICO BSP PARA PREVISÃO E EXTRAÇÃO DE REGRAS FUZZY EM APLICAÇÕES DE DATA MINING
This dissertation investigates the use of a Neuro-Fuzzy Hierarchical system for time series forecasting and fuzzy rule extraction for Data Mining applications. The objective of this work was to extend the Neuro-Fuzzy BSP Hierarchical model for the classification of registers and time series forecasting. The process of classification of registers in the Data
Publicado em: 2000
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31. ARTIFICIAL NEURAL NETWORKS, FUZZY LOGIC AND NEURO-FUZZY SYSTEM IN THE ROLE OF SHORT TERM LOAD FORECAST / REDES NEURAIS ARTIFICIAIS, LÓGICA NEBULOSA E SISTEMAS NEURO-FUZZY NA PREVISÃO DE CARGA ELÉTRICA EM CURTO PRAZO
This thesis examines the performance of computational intelligence in short term load forecasting. The main objective of the work was to propose and evaluate neural network, fuzzy logic, neurofuzzy and hybrid systems in the role of short term load forecast, considering some variables that affect the load behavior such as temperature, comfort indexes and cons
Publicado em: 1999
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32. 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
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33. BAYESIAN LEARNING FOR NEURAL NETWORKS / APRENDIZADO BAYESIANO PARA REDES NEURAIS
This dissertation investigates the Bayesianan Neural Networks, which is a new approach that merges the potencial of the artificial neural networks with the robust analytical analysis of the Bayesian Statistic. Typically, theconventional neural networks such as backpropagation, have good performance but presents problems of convergence, when enough data for t
Publicado em: 1999
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34. Representação e aquisição de regras em sistemas conexionistas
This work addresses the problem of representing structured knowledge (as a set of rules) in connectionist systems. First, modular connectionist networks are studied. In this kind of network, groups of neurons may be associated with rule antecedents or consequents. Next, we show some ways by which these networks are associated with fuzzy logic concepts (neuro
Publicado em: 1995