@inproceedings{23eb4140747d4243809a4155fb283385,
title = "Determination of optimal process parameters to prepare licorice extract micro-particles using artificial neural network based particle swarm optimization",
abstract = "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.",
author = "Honghao Zhang and Guangdong Tian and Mengchu Zhou and Chaoyong Zhang",
note = "Publisher Copyright: {\"i}¿½ 2016 IEEE.; 12th World Congress on Intelligent Control and Automation, WCICA 2016 ; Conference date: 12-06-2016 Through 15-06-2016",
year = "2016",
month = sep,
day = "27",
doi = "10.1109/WCICA.2016.7578579",
language = "English (US)",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "787--791",
booktitle = "Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016",
address = "United States",
}