Prediction of CO۲ uptake by porous organic polymers using new effective method: GMDHapproach

In this work, the CO۲ uptake by porous organic polymers was predicted using the group method of datahanding (GMDH) neural network. Using CO۲ uptake experimental data and ۵ descriptors, the model wasconstructed. After training and optimization, the performance of the model confirmed using validation andexternal test sets.

کلیدواژه ها:

group method of data handling (GMDH) ، carbon dioxide ، porous polymers