Application of neural networks to model the filtration and washing out of impurities from suspensions of porous solids has been investigated. The neural hybrid model has been proposed for this purposes. In such a model the neural net represents all mass transfer phenomena as well as adsorption equilibrium. The net can be trained with use of experimental data only. This approach simplifies the modeling and ensures at good accuracy.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.