Identification of fractional water transport model with ψ-Caputo derivatives using particle swarm optimization algorithm
作者：
Highlights：
• ψ-Caputo derivative can be efficiently used to model water transport.
• Particle swarm optimization algorithm was used to identify parameters.
• Sigmoid functional parameter best described experimental data.
摘要
•ψ-Caputo derivative can be efficiently used to model water transport.•Particle swarm optimization algorithm was used to identify parameters.•Sigmoid functional parameter best described experimental data.
论文关键词：Moisture transport,Fractional differential equation,Parameters identification,ψ-Caputo Derivative,Sigmoid function,Particle swarm optimization
论文评审过程：Received 12 February 2020, Revised 23 July 2020, Accepted 5 September 2020, Available online 29 September 2020, Version of Record 29 September 2020.
论文官网地址：https://doi.org/10.1016/j.amc.2020.125665
