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Damage detection in beams by using artificial neural networks and dynamical parameters
(IMPRENTA UNIV ANTIOQUIAMEDELLIN, 2012-06)
In this paper is presented a multilayer perceptron neural network combined with the Nelder-Mead Simplex method to detect damage in multiple support beams. The input parameters are based on natural frequencies and modal ...
Determination of biogeochemical parameters in eutrophication models with simultaneous dynamic optimization approaches
(Pergamon-Elsevier Science Ltd, 2009-10)
This work addresses a parameter estimation problem in an ecological water quality model through a simultaneous dynamic optimization approach. The model is based on first principles and has a large number of parameters, ...
Dynamic parameter estimation problem for a water quality model
(AIDIC, 2007-06)
This work deals with the parameter estimation problem for a lake eutrophication model. The model is a dynamic parameter estimation one, which is solved with a simultaneous approach with an nonlinear programming solver. ...
Introduction to complex dynamics
In this chapter some dynamical concepts of complex dynamics that will be used in this book are presented. Moreover, some graphics illustrating the theoretical concepts are shown in order to let the reader understand them better.
Preferential location of prilocaine and etidocaine in phospholipid bilayers: A molecular dynamics study
(Elsevier B.V. Sa, 2009-11-01)
In this work, we report a 20-ns constant pressure molecular dynamics simulation of the uncharged form of two amino-amide local anesthetics (LA). etidocaine and prilocaine, present at 1:3 LA:lipid, molar ratio inside the ...
Identificación de parámetros dinámicos de la suspensión de un vehículo.
(2015-05-11)
En el presente trabajo se aborda la identificación de parámetros dinámicos en vehículos automóviles. Paso previo
al desarrollo del problema de identificación, se desarrolla un modelo dinámico para la suspensión delantera ...
A study of dynamics via Mobius conjugacy map on a family of sixth-order modified Newton-like multiple-zero finders with bivariate polynomial weight functions
A generic family of sixth-order modified Newton-like multiple-zero finders have been proposed in Geum et al. (2016). Among them we select a specific family of iterative methods with uniparametric bivariate polynomial weight ...
The Squirrel-Cage Induction Motor Model and Its Parameter Identification Via Steady and Dynamic Tests
(Taylor and Francis, 2019)