Inverse identification of temperature-dependent thermal conductivity via genetic algorithm with cost function-based rearrangement of genes
A new application of the cost function-based rearrangement of genes (proposed by Liu
(2008)[1]) is presented in this paper through the genetic algorithm-based solution of the …
(2008)[1]) is presented in this paper through the genetic algorithm-based solution of the …
Simultaneous estimation of temperature-dependent volumetric heat capacity and thermal conductivity functions via neural networks
An artificial neural network based solution of the inverse heat conduction problem of
simultaneous identification of the temperature-dependent volumetric heat capacity and …
simultaneous identification of the temperature-dependent volumetric heat capacity and …
Estimation of the time-dependent heat flux using the temperature distribution at a point by conjugate gradient method
In this paper, the conjugate gradient method coupled with adjoint problem is used in order to
solve the inverse heat conduction problem and estimation of the time-dependent heat flux …
solve the inverse heat conduction problem and estimation of the time-dependent heat flux …
Estimation of initial condition in heat conduction by neural network
ÉH Shiguemori, JDÍSS Da Silva… - Inverse Problems in …, 2004 - Taylor & Francis
This article describes a methodology for using neural networks in an inverse heat
conduction problem. Three neural network (NN) models are used to determine the initial …
conduction problem. Three neural network (NN) models are used to determine the initial …
A new ANN driven MCMC method for multi-parameter estimation in two-dimensional conduction with heat generation
C Balaji, T Padhi - International journal of heat and mass transfer, 2010 - Elsevier
This paper proposes a hybrid approach, wherein Markov Chain Monte Carlo (MCMC)
simulations are used in a Bayesian framework, in conjunction with artificial neural networks …
simulations are used in a Bayesian framework, in conjunction with artificial neural networks …
Using neural networks to obtain initial estimates for the solution of inverse heat transfer problems
F Soeiro, PO Soares, HF Campos Velho… - … Problems, Design an …, 2004 - books.google.com
Using neural networks to obtain initial estimates for the solution of inverse heat transfer problems
Page 359 358 Inverse Problems, Design and Optimization USING NEURAL NETWORKS TO …
Page 359 358 Inverse Problems, Design and Optimization USING NEURAL NETWORKS TO …
Time-dependent heat flux estimation in multi-layer systems by inverse method
M Mohammadiun - Journal of Thermophysics and Heat Transfer, 2016 - arc.aiaa.org
In this paper, the conjugate gradient method, coupled with the adjoint problem, is used to
solve the inverse heat conduction problem and to estimate the time-dependent heat flux …
solve the inverse heat conduction problem and to estimate the time-dependent heat flux …
Artificial neural networks for inverse heat transfer problems
We present a solution for an inverse heat transfer problem involving internal heat generation
using artificial neural networks. The problem involves a heat conduction problem with …
using artificial neural networks. The problem involves a heat conduction problem with …
[HTML][HTML] Estimation of time-dependent heat flux using temperature distribution at a point in a two layer system
In this paper, the conjugate gradient method, coupled with the adjoint problem, is used in
order to solve the inverse heat conduction problem and estimation of the time-dependent …
order to solve the inverse heat conduction problem and estimation of the time-dependent …
Genetic algorithm-based method for determination of temperature-dependent thermophysical properties
A new evaluation method based on a genetic algorithm is applied for simultaneous
determination of the temperature-dependent thermal conductivity and volumetric heat …
determination of the temperature-dependent thermal conductivity and volumetric heat …