The application of artificial neural networks on adsorption modeling has significantly
increased during the last decades. These artificial intelligence models have been utilized to …

Volatile organic compounds (VOCs) are the most frequently occurring pollutants in
groundwater which can impart significant health hazards to the end user even at levels of …

Rigorous and robust first principles-based Homogeneous Surface Diffusion Model (HSDM)
is demonstrated for numerical simulation and estimation of surface diffusivities for single …

This paper reports the application of four neural network surrogate models for the correlation
and prediction of asymmetric breakthrough curves obtained from the multi-component …

The preparation of an alternative material for the adsorption of arsenic from aqueous
solution was studied. This adsorbent was obtained from the pyrolysis and ZnCl 2 activation …

A three-layer feed forward neural network was constructed and tested to analyze the second
order kinetics of solid–liquid adsorption process. The pseudo second order kinetics of …

This manuscript discusses the advantages and limitations of ANNs models for modeling and
predicting multi-component adsorption of heavy metal ions on bone char. In particular, the …

The development of machine learning-based ensemble models for the prediction of complex
processes with non-linear nature (such as adsorption) has been remarkably advanced over …

In this work, ultrasound-modified chitin (UM-chitin) was used to adsorb cobalt (Co 2+),
methylene blue (MB), and nickel (Ni 2+) in single, binary and ternary systems, at different …

Neural network computation, a new methodology, the concept of which originated earlier
this century and is also known as parallel distributed processing (PDP), has been …