Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation.
Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation.
M. Kida,Kamil Pochwat,Sabina Ziembowicz
2023 · DOI: 10.1016/j.jhazmat.2023.132565
Journal of Hazardous Materials · 30 Citations
TLDR
The results obtained confirm the potential of artificial neural networks and the support vector method for effective modelling and prediction of chemical compounds leached from microplastics and provide new insight into the influence of different parameters and factors on the leaching of plastic additives.