Tag: Levenberg-Marquardt algorithm

Researchers evaluated functional biscuits enriched with papaya, turmeric, moringa, and coconut water in Wistar rats, using artificial neural networks to ...

A multi-fidelity nonlinear tsunami inversion framework accurately reconstructs the fault slip of the 1946 Showa–Nankai earthquake by incorporating coastal inundation ...

Researchers developed a Levenberg-Marquardt neural network to accurately predict the heat and mass transfer behavior of 10W40 engine oil hybrid ...

Researchers modeled two-phase dusty hybrid nanofluid flow over a melting sheet incorporating gyrotactic microorganisms and Soret-Dufour effects using artificial neural ...

Researchers modeled Casson blood flow carrying gold nanoparticles over a stretching surface, showing that a four percent particle loading enhances ...

Researchers developed a Levenberg-Marquardt neural network framework to model peristaltic transport and thermodynamic entropy generation in a magnetically actuated Sutterby ...

Researchers used numerical shooting methods and artificial neural networks to accurately predict heat transfer, fluid flow, and entropy generation in ...

A hybrid modeling framework uses multiple linear regression data augmentation to enhance neural network predictions of failure loads in adhesive-bonded ...

Researchers combined analytical homotopy perturbation methods, numerical checks, and neural networks to accurately predict magnetohydrodynamic blood flow through arterial channels.

Researchers integrated artificial neural networks with B-spline interpolation to accurately estimate excess pore water pressure at uninstrumented ground locations during ...