To deal with the ill-posed nature of inverse heat conduction problem (IHCP), regularization parameter ? can be incorporated into a minimization problem, which is known as Tikhonov method, popular technique to obtain stable sequential solutions. Because penalty term, its excessive use may cause large bias errors. A ridge regression was developed an estimator optimal minimize magnitude gain coeff...

A modeling study on the energy absorption and heat transfer of concentric nanoparticles under localized surface plasma resonance (SPR) conditions is presented. A generalized theoretical formulation for multi-scattering of electromagnetic waves by multilayered nanoparticle is employed to determine the heat source first, and then starting with the Eigen functions, direct and inverse integral tran...

This paper employs the continuous-time analogue Hopfield neural network to compute the temperature distribution in forward heat conduction problems and solves inverse heat conduction problems by using a back propagation neural (BPN) network to identify the unknown boundary conditions. The weak generalization capacity of BPN networks is improved by employing the Bayesian regularization algorithm...