Abstract
Conference Title: 2016 12th World Congress on Intelligent Control and Automation (WCICA) Conference Start Date: 2016, June 12 Conference End Date: 2016, June 15 Conference Location: Guilin, China The ways to obtain high-quality licorice extract (LE) micro-particles have a large impact on their aqueous solubility and bioavailability. Researchers have addressed their preparation and property modification problems. A new issue arises when decision-makers want to determine automatically the best process parameters to prepare them to minimize mean particle size. To do so, this work presents an intelligent decision-making method to obtain the optimal process parameters to prepare them. By using already obtained experimental data, we apply a hybrid algorithm integrating artificial neural network and particle swarm optimization to obtain the best experimental conditions for preparing LE micro-particles. The results indicate that this method is feasible and effective to determine the best process parameters.