Parameter Of Regularization
Mostrando 1-12 de 13 artigos, teses e dissertações.
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1. Theoretical and Experimental Heat Transfer in Solid Propellant Rocket Engine
ABSTRACT: Accurate determination of heat flux is an important task not only in the designing aspect, but also in the performance analysis of rocket engines. In this purpose, this work deals with the heat flux determination in a combustion chamber through the inverse method. In this approach, the transient heat flux is determined from the experimental tempera
J. Aerosp. Technol. Manag.. Publicado em: 26/08/2019
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2. Implementação paralela do algoritmo iterativo de busca do parâmetro de regularização ótimo para o funcional de Tikhonov no problema de restauração de imagens / Parallel implementation of the iterative algorithm to search the optimal regularization parameter for the Tikhonov functional problem in image restoration
The use of techniques with the functional of Tikhonov in image processing has been widely used in recent years. The basic idea in this process is to modify an initial image using a convolution equation and to find a parameter which minimizes the function in order to obtain an aproximation of the original image. However, a typical problem in this method consi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/04/2012
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3. Information theory and adaptivity in the species distribution modeling. / Teoria da informação e adaptatividade na modelagem de distribuição de espécies.
Species distribution modeling is a technique the purpose of which is to estimate models based on ecological niche. These models can assist decision making processes, planning and carrying out actions aiming at environmental conservation and preservation. There are several tools designed for species distribution modeling, such as the open- Modeller framework,
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 03/02/2012
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4. 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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5. Efeitos cosmológicos induzidos por campos quantizados / Cosmological effects induced by quantized fields
The present dissertation reviews the coupling of a scalar non-interacting quantum field with the metric of a FLRW(Friedmann-Lemaítre-Robertson-Walker) spacetime, proposed in a work by C. Dappiaggi, K. Fredenhagen and N. Pinamonti. We present methods for the quantization of a real Klein-Gordon field in globally hyperbolic spacetimes and discuss procedures fo
Publicado em: 2010
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6. Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais / Combining markov random field models for multispectral image contextual classification
This work presents a novel MAP-MRF approach for multispectral image contextual classification by combining higher-order Markov Random Field models. The statistical modeling follows the Bayesian paradigm, with the definition of a multispectral Gaussian Markov Random Field model for the observations and a Potts MRF model to represent the a priori knowledge. In
Publicado em: 2010
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7. Lavrentiev-prox-regularization for optimal controlof PDEs with state constraints
A Lavrentiev prox-regularization method for optimal control problems with point-wise state constraints is introduced where both the objective function and the constraints are regularized. The convergence of the controls generated by the iterative Lavrentiev prox-regularization algorithm is studied. For a sequence of regularization parameters that converges t
Computational & Applied Mathematics. Publicado em: 2009
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8. Bifurcações de campos vetoriais descontínuos / Bifurcations of discontinuous vector fields
Let M be a connected and compact set of the plane which is the union of the connected subsets N and S. Let Z_L=(X_L,Y_L) be a one-parameter family of discontinuous vector fields, where X_L is defined on N and Y_L on S. The two fields X_L, Y_L and their dependences on L are smooths, i. e., are of C^\infty class; the discontinuity happens in the common boundar
Publicado em: 2009
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9. A new approach for regularized image interpolation
This paper presents a non-iterative regularized inverse solution to the image interpolation problem. This solution is based on the segmentation of the image to be interpolated into overlapping blocks and the interpolation of each block, separately. The purpose of the overlapping blocks is to avoid edge effects. A global regularization parameter is used in in
Journal of the Brazilian Computer Society. Publicado em: 2006-04
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10. A unified regularization theory: the maximum non-extensive entropy principle
Tsallis' non-extensive entropy is used as a regularization operator. The parameter ''q'' (non-extensivity parameter) has a central role in the Tsallis' thermostatiscs formalism. Here, several values of q are investigated in inverse problems, using q < 1 and q > 1. Two standard regularization techniques are recovered for special q-values: (i) q = 2 is the wel
Computational & Applied Mathematics. Publicado em: 2006
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11. Viabilidade em programação não-linear : restauração e aplicações / Nonlinear programming feasibility: restoration and applications
Abstract Robust and numerically feasible algorithms for solving optimization problems have been demanded for solving practice problems that appear in Engineering, Chemistry, Physics and others. This work present a new globally convergent method based on trust regions for solving box-constrained underdetermined nonlinear systems (more unknowns than equations)
Publicado em: 2005
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12. Incorporação do vínculo de suavidade no ajuste de histórico de reservatórios de petróleo
The history match procedure in an oil reservoir is of paramount importance in order to obtain a characterization of the reservoir parameters (statics and dynamics) that implicates in a predict production more perfected. Throughout this process one can find reservoir model parameters which are able to reproduce the behaviour of a real reservoir.Thus, this res
Publicado em: 2005