Prediction of Carbon Dioxide Solubility in Polymers Based on Adaptive Particle Swarm Optimization and Least Squares Support Vector Machine

A novel prediction model is established by adaptive particle swarm optimization and least squares support vector machine to predict the solubility of CO2 in polymers. Compared to the previous models, the proposed model exhibits higher accuracy and better performance.