Determination of optimal process parameters to prepare licorice extract micro-particles using artificial neural network based particle swarm optimization

Document Type

Conference Proceeding

Publication Date

9-27-2016

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.

Identifier

84991650721 (Scopus)

ISBN

[9781467384148]

Publication Title

Proceedings of the World Congress on Intelligent Control and Automation WCICA

External Full Text Location

https://doi.org/10.1109/WCICA.2016.7578579

First Page

787

Last Page

791

Volume

2016-September

Grant

51405075

Fund Ref

National Natural Science Foundation of China

This document is currently not available here.

Share

COinS