Fuzzy Inference Systems
Mostrando 25-33 de 33 artigos, teses e dissertações.
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25. 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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26. Automatic diagnoses of rolling bearing failures based in fuzzy logic. / Diagnóstico automático de defeitos em rolamentos baseado em lógica fuzzy
This works describes two proposed methodologies for the automatic diagnoses in mechanical equipment: the fuzzy system inference and a Fuzzy C-Means based algorithm. Their performances are evaluated in an experimental case and, afterwards, also compared by the statistical alarm, a diagnostic methodology very used in industries at present. In order to do the t
Publicado em: 2005
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27. IDENTIFICAÇÃO DE GRUPOS ESTRATÉGICOS: UMA ABORDAGEM UTILIZANDO A VISÃO RESOURCE-BASED E SISTEMAS NEURO-FUZZY / STRATEGIC GROUPS: ARESOURCE-BASED VIEW AND NEURO-FUZZY SYSTEMS APPROACH
Since its has introduced, in the beginning of the decade of seventy, the concept of strategic groups is object of theoretical and empirical research that aims to confirm its existence, its contribution to performance evaluation and the formulation of the strategies of the firms. This text join these research, using the Resource-Based Views framework and soft
Publicado em: 2004
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28. Classificador de qualidade de álcool combustível e poder calorífico de gás GLP. / Alcohol combustible quality and LPG gas calorific power classifier.
This work shows the results of a robust system development as an alternative to recognize the quality of an alcohol fuel vapor sample and Liquid Petrol Gas (LPG) heat power in an electric nose. Two experimental methodologies were implemented to extract the features of alcohol fuel vapor and LPG gas patterns. The first approach to process the data used an Fuz
Publicado em: 2004
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29. HIBRID NEURO-FUZZY-GENETIC SYSTEM FOR AUTOMATIC DATA MINING / SISTEMA HÍBRIDO NEURO-FUZZY-GENÉTICO PARA MINERAÇÃO AUTOMÁTICA DE DADOS
This dissertation presents the proposal and the development of a totally automatic data mining system. The main objective is to create a system that is capable of extracting obscure information from complex databases, without demanding the presence of a technical specialist to configure it. The Hierarchical Neuro-Fuzzy Binary Space Partitioning model (NFHB)
Publicado em: 2004
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30. Utilização de logica nebulosa na detecção de vazamentos em dutos
Pipeline is an efficient and economic means of transporting petroleum products. However, risks associated with accidental release of transported product are still high. That issue has motivated the development of many methods for leak detection, mainly based on process variables. In the present dissertation, the high correlation between the inlet-outlet flow
Publicado em: 2003
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31. 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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32. Detecção e diagnostico de falhas em sistemas dinamicos utilizando redes neurais e logica nebulosa
Fault detection and diagnosis methods have been intensively studied lately, as a result of the demand for systems of greater reliability. In this work, computational intelligence methods were adopted, in a configuration that uses artificial neural networks and fuzzy logic for monitoring dynamic systems represented by state-space models of adequate dimension.
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