Smoothing Simulation
Mostrando 1-10 de 10 artigos, teses e dissertações.
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1. Integrating Ridge-type regularization in fuzzy nonlinear regression
In this paper, we deal with the ridge-type estimator for fuzzy nonlinear regression models using fuzzy numbers and Gaussian basis functions. Shrinkage regularization methods are used in linear and nonlinear regression models to yield consistent estimators. Here, we propose a weighted ridge penalty on a fuzzy nonlinear regression model, then select the number
Comput. Appl. Math.. Publicado em: 2012
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2. BIAS DETECTION IN DEMAND FORECASTING / DETECÇÃO DE VIÉS NA PREVISÃO DE DEMANDA
The purpose of this dissertation is to propose two new methods for detection of biases in demand forecasting. These methods are adaptations of two statistical process control techniques, the EWMA control chart and the CUSUM control chart (or CUSUM algorithm), to the context of the detection of biases in demand forecasting. The performance of the proposed met
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/09/2011
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3. Otimização topológica de transdutores piezelétricos com gadação funcional de material: projeto, simulação, análise e fabricação. / Topology optimization of piezoelectric transducers considering functionally graded material: design, simulation, analysis and fabrication.
Piezoelectric materials generate displacements when they are excited by electrical potential and electrical potential when they are excited by force or pressure. These materials are widely applied in Precision Mechanics, Mechatronics, and Ultrasonic imaging areas. On the other hand, Functionally Graded Materials (FGM) are advanced materials, whose properties
Publicado em: 2010
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4. Estudo comparativo de métodos geoestatísticos de estimativas e simulações estocásticas condicionais / Comparative study of geostatistical estimation methods and conditional stochastic simulations
Different geostatistical methods present themselves as the optimal solution to different realities according to the characteristics displayed by the data in analysis. Some of the most popular estimation methods include ordinary kriging and lognormal ordinary kriging, this last one involving the transformation of data from their original space to a Gaussian d
Publicado em: 2009
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5. Three-dimensional flow calculations of axial compressors and turbines using CFD techniques.
With the advent of powerful computer hardware, Computational Fluid Dynamics (CFD) has been vastly used by researches and scientists to investigate flow behavior and its properties. The cost of CFD simulation is very small compared to the experimental arsenal as test facilities and wind-tunnels. In the last years many CFD commercial packages were developed an
Publicado em: 2009
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6. cellular networks; Mobile networks / Controle de admissÃo de chamas e reserva de recursos em redes mÃveis celulares
Handoff in wireless/mobile networks is the mechanism that transfers an ongoing call from the current cell as the mobile station moves through the coverage area of the system. User applications may experience performance degradation due to handoffs from user mobility. If the target cell does not have sufficient available bandwidth, the call will be dropped. F
Publicado em: 2004
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7. Aplicações de sistemas classificadores para robotica autonoma movel com aprendizado
Mobile robotics has as its fundamental goal to elaborate trajectories avoiding collisions, locating and reaching targets, power supply self sufficiency, objects transportation, etc. A solution providing autonomy to the robot for learning its behavior is contrasting with more classical approaches that require a previous model of the environment in which the r
Publicado em: 2002
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8. Modelagem e simulação do efeito de parede na transmissão de calor em um forno rotativo utilizado na produção de gesso beta
The rotating kiln used for plaster attainment beta (CaSO 4 . O,5H 20), from the calcination of the crude gypsum ore (CaSO 4 . 2H 20), present as main advantages in relation to the toa much types the production of a plaster more uniform, better thermal efficiency and easiness of automation. However, these ovens had had origin in adaptations of the kilns of ma
Publicado em: 2001
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9. NON GAUSSIAN STATE SPACE MODELS FOR COUNT DATA: THE DURBIN AND KOOPMAN METHODOLOGY / MODELOS DE ESPAÇO DE ESTADO NÃO GAUSSIANOS PARA DADOS DE CONTAGEM: METODOLOGIA DURBIN-KOOPMAN
O objetivo desta tese é o de apresentar e investigar a metodologia de Durbin e Koopman (DK) usada para estimar o espaço de estado de modelos de séries temporais não- Gaussianos, dentro do contexto de modelos estruturais. A abordagem de DK está baseada na avaliação da verossimilhança usando uma eficiente simulação de Monte Carlo, por meio de amostra
Publicado em: 1999
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10. Reaching the global minimum in docking simulations: A Monte Carlo energy minimization approach using Bezier splines
The docking problem faces two major challenges: the global optimization of a multivariable function, such as the energy, and the ability to discriminate between true and false positive results, i.e., native from nonnative structures based on the input energy function. Among all energy evaluation tools, only a local energy-minimization method using an accurat
The National Academy of Sciences.