Fuzzy Clustering
Mostrando 25-36 de 46 artigos, teses e dissertações.
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25. Estudo de resultados do espectro multifractal da retina humana, como medida de classificação : uma aplicação de análise de agrupamento.
Image analysis is frequently used by ophthalmologists as part of the diagnostic procedure. Inspection of the vascular structure of the retina may reveal early stages of pathologies such as diabetic retinopathy, and there have been various efforts to develop more efficient methods for diagnosing such diseases. Currently, identification of abnormalities requir
Publicado em: 2008
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26. Geração de zonas de manejo para cafeicultura usando sensor SPAD e análise foliar / Generation of management zones for coffee cropping using SPAD sensor and leaf analysis
One of the critical problems of the precision agriculture is the need of a dense sampling in order to detect the spatial variability of the attribute in study, allowing the generation of maps. One of the solutions for this problem is being the generation of management zones. The objective of this work was: a) to define management zones for coffee crop using
Publicado em: 2008
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27. Structural damage detection using time series analysis and piezoelectries actuators and sensors / Detecção de danos estruturais usando analise de series temporais e atuadores e sensores piezeletricos
This work proposes a novel approach to detect and locate incipient damage in structures by using only acceleration responses and coupled piezoelectric actuators and sensors. Though the major focus in smart damage detection is given by on the monitoring of the electrical impedance in the frequency domain, the current contribution applies a novel technique bas
Publicado em: 2008
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28. Damage detection in a benchmark structure using AR-ARX models and statistical pattern recognition
Structural health monitoring (SHM) is related to the ability of monitoring the state and deciding the level of damage or deterioration within aerospace, civil and mechanical systems. In this sense, this paper deals with the application of a two-step auto-regressive and auto-regressive with exogenous inputs (AR-ARX) model for linear prediction of damage diagn
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2007-06
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29. Modelagem e controle preditivo utilizando multimodelos / Modeling and predictive control using multi-models
o interesse na utilização de algoritmos de controle sofisticados cresce no meio industrial devido à necessidade de melhor qualidade dos produtos produzidos. Uma abordagem que vem ganhando destaque é a utilização de sistemas de controle não-linear que modelam os sistemas por meio de multimodelos lineares. Neste contexto, este trabalho apresenta a model
Publicado em: 2007
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30. AvaliaÃÃo de redes neurais competitivas em tarefas de quantizaÃÃo vetorial:um estudo comparativo / Evaluation of competitive neural networks in tasks of vector quantization (VQ): a comparative study
Esta dissertaÃÃo tem como principal meta realizar um estudo comparativo do desempenho de algoritmos de redes neurais competitivas nÃo-supervisionadas em problemas de quantizaÃÃo vetorial (QV) e aplicaÃÃes correlatas, tais como anÃlise de agrupamentos (clustering) e compressÃo de imagens. A motivaÃÃo para tanto parte da percepÃÃo de que hà uma r
Publicado em: 2007
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31. Comparação de metodologias aplicadas à analise de agrupamentos na presença de variáveis categóricas e contínuas
Cluster Analysis is the name given to a group of several types of algorithms used to organize objects into groups taking into account the proximity that exists between them. Objects in the same group are as similar as possible to each other (internal cohesion) and are as dissimilar as possible to the objects in the different groups (external isolation). Clus
Publicado em: 2007
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32. ClusterizaÃÃo baseada em algoritmos fuzzy
Clustering analysis is a technique with applications in many different fields such as data mining, pattern recognition, and image processing. Clustering algorithms aim at partitioning a data set into clusters such that the items within a given cluster have a high degree of similarity, while items belonging to different clusters have a high degree of dissimil
Publicado em: 2006
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33. Análise de métodos de agrupamento para o treinamento de redes neurais de base radical aplicadas à identificação de sistemas
For complex systems, modeling using basic laws to determine their dynamic behavior is not always possible. An alternative to solve these problems is use concepts of systems identification. Trough system identification it is possible to determine a mathematical model based on input and output data of the system. When little prior knowledge is available, it is
Publicado em: 2006
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34. Fitness estimation models applied to genetic algorithms / Aplicação de modelos de estimação de fitness em algoritmos geneticos
Genetic algorithms usually need a large number of fitness evaluations before a satisfying result can be obtained. In many real-world applications, fitness evaluation may be computationally complex and costly. In these cases, time is an essential subject in performance analysis of genetic algorithms. Therefore, genetic algorithms should provide good solutions
Publicado em: 2005
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35. Fuzzy filters based communication channels equalization / Equalização de canais de comunicação digital baseada em filtros fuzzy
The objective of this thesis is to study the application of fuzzy to supervised and unsupervised digital channel equalization. Our work is basically divided in two main parts. In the one, we make an extensive review of supervised fuzzy equalization techniques. In the second part, we present original contributions towards the establishment of a solid paradigm
Publicado em: 2005
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36. AGRUPAMENTOS DE DADOS: AVALIAÇÃO DE MÉTODOS E DESENVOLVIMENTO DE APLICATIVO PARA ANÁLISE DE GRUPOS / DATA CLUSTERING: ANALYSIS OF METHODS AND DEVELOPMENT OF APPLICATION FOR CLUSTER ANALYSIS
A enorme massa de dados que é gerada pelas diversas empresas diariamente pode conter informações importantes que não são fáceis de serem extraídas. Com isso advém a necessidade de analisá-los automaticamente, de forma adequada, extraindo informação útil que pode agregar algum tipo de conhecimento. Uma das formas de se analisar os dados automatica
Publicado em: 2005