Recurso interpretativo funcional como saber docente no ensino de conteúdos curriculares de matemática

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Variabilidade genética e identificação de QTLs de tíbia e peso corporal em Gallus gallus

Pós-graduação em Genética e Melhoramento Animal - FCAV

Processos enunciativos e gramática operatória: o espaço semântico-enunciativo dos marcadores er e estar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Motociclistas vítimas de acidentes em Paranavaí, 2011

Pós-graduação em Saúde Coletiva - FMB

Estudo da distribuição das tensões internas, pelo método dos elementos finitos, em uma raiz com um retentor intra-radicular pré-fabricado, rosqueado e com fenda apical

Pós-graduação em Odontologia Restauradora - ICT

Análise da influência da adoção de práticas de Green Supply Chain Management no desempenho ambiental e operacional: estudo de caso

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Phenotypic and genetic variability for body weight of ostriches (Struthio camelus)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

O processo de liderança na perspectiva de enfermeiros da estratégia de saúde da família de Botucatu: uma pesquisa-ação

Pós-graduação em Enfermagem - FMB

Comparative analysis between a CAD model design and physical models obtained by manufacturing additive technologies using optical scan

This article presents a detailed study of the application of different additive manufacturing technologies (sintering process, three-dimensional printing, extrusion and stereolithographic process), in the design process of a complex geometry model and its moving parts. The fabrication sequence was evaluated in terms of pre-processing conditions (model generation and model STL SLI), generation strategy and physical model post-processing operations. Dimensional verification of the obtained models was undertook by projecting structured light (optical scan), a relatively new technology of main importance for metrology and reverse engineering. Studies were done in certain manufacturing time and production costs, which allowed the definition of an more comprehensive evaluation matrix of additive technologies.

Bayesian analysis of random regression models using B-splines to model test-day milk yield of Holstein cattle in Brazil

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Determination of the numerical parameters of a continuous damage model for the structural analysis of clay brick masonry

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Stability and convergence analysis of a neural model applied in nonlinear systems optimization

A neural model for solving nonlinear optimization problems is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The network is shown to be completely stable and globally convergent to the solutions of nonlinear optimization problems. A study of the modified Hopfield model is also developed to analyze its stability and convergence. Simulation results are presented to validate the developed methodology.

Design and analysis of an efficient neural network model for solving nonlinear optimization problems

This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The main advantage of the developed network is that it handles optimization and constraint terms in different stages with no interference from each other. Moreover, the proposed approach does not require specification for penalty and weighting parameters for its initialization. A study of the modified Hopfield model is also developed to analyse its stability and convergence. Simulation results are provided to demonstrate the performance of the proposed neural network.

Numerical analysis of refrigerant flow along non-adiabatic capillary tubes using a two-fluid model

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Model for the Evaluation of Root Wear by Histometric Analysis

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)