This paper employs the continuous-time analogue Hopfield neural network to compute the
temperature distribution in forward heat conduction problems and solves inverse heat …

An inverse problem is solved for simultaneously estimating the convection–conduction
parameter and the variable thermal conductivity parameter in a conductive–convective fin …

An algorithm is presented for the solution of an inverse heat conduction problem: reconstruct
the steady-state distribution of the convection heat transfer coefficient on one wall of a slab …

This paper presents a new inverse analysis approach for identifying material properties and
unknown geometries for multi-region problems using the Boundary Element Method (BEM) …

The solution of the multidimensional inverse heat conduction problem (IHCP) requires much
practice and several runs to determine the many parameters involved in the solution. This …

The techniques for solving the Inverse Heat Conduction Problem represent useful tools for
designing heat transfer apparatuses. One of their most challenging applications derives from …

This paper presents an efficient technique for analyzing inverse heat conduction problems
using a Kalman Filter-enhanced Bayesian Back Propagation Neural Network (KF-B2PNN) …

Inverse heat transfer problems typically rely on temperature measurements for estimating
unknown boundary heat flux, such as that in the water tubes of steam boilers or central …

In this article, the determination of the time-dependent heat transfer coefficient, involving
nonlinear boundary conditions of the third kind in the one-dimensional transient heat …

A simple, but versatile, algorithm called the direct sensitivity coefficient (DSC) method has
been developed to deal with multidimensional inverse heat conduction (IHC) problems …