Mechanistic modeling has been repeatedly successfully applied in process development
and control of protein chromatography. For each combination of adsorbate and adsorbent …

Existing algorithms with iterations as the principle for 3D inverse heat conduction problems
(IHCPs) are usually time-consuming and resource-demanding. With the recent …

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 …

The radiative transfer phenomenon is modeled by an integro-differential equation known as
Boltzmann equation. This equation describes mathematically the interaction of the radiation …

Computational Intelligence Applied to Inverse Problems in Radiative Transfer Page 1 Antônio
José da Silva Neto José Carlos Becceneri Haroldo Fraga de Campos Velho Editors …

A modified Levenberg–Marquardt method (LMM) for the identification of temperature-
dependent thermal conductivity is proposed; the experiment and structure of the specimen …

Full article: A hybrid approach with artificial neural networks, Levenberg–Marquardt and
simulated annealing methods for the solution of gas–liquid adsorption inverse problems Skip …

In this chapter, the method called Particle Collision Algorithm (PCA) is presented, including
a brief history, the algorithm, and its application to the inverse radiative transfer problem, for …

The objective of an inverse heat transfer problem is to address unknown parameters or
boundary conditions using the temperature distributions obtained from measurement. While …

In the present work the inverse problem of simultaneous heat and mass transfer modeled by
Luikov equations is studied using a hybrid combination of the Levenberg-Marquardt (LM) …