Comparison of two soft computing approaches for predicting CO2 solubility in aqueous solution of piperazine
文摘

Two models have been developed for prediction of CO2 solubility in piperazine, PZ aqueous solution.

The models are based on CHPSO-ANFIS and CSA-LSSVM approaches.

The experimental data gathered from the literature were used for model development.

The effectiveness and accuracy of the models were evaluated by statistical and graphical approaches.

CHPSO-ANFIS model yields more accurate predictions compared to CSA-LSSVM model.

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