TY  - JOUR
AU  - Liu, Sunil
AU  - Suzuki, Jing
AU  - Rossi, Amara
TI  - Modelling Membrane Separation Processes with Particle Swarm Optimisation
JO  - Open Access Journal of Engineering Applications
PY  - 2020
VL  - 44
IS  - 2
SP  - 187
EP  - 211
AB  - Conventional approaches to robotic manipulation often treat membrane separation processes as a secondary consideration, at considerable cost. The proposed approach combines particle swarm optimisation with laboratory measurements to improve predictive accuracy. The strongest effect was associated with membrane separation processes, which accounted for nearly 61% of the response. Practitioners can implement the recommendations using widely available tools and data.
KW  - membrane separation processes
KW  - particle swarm optimisation
KW  - induction motor
KW  - image segmentation
KW  - structural health monitoring
KW  - model predictive control
SN  - 3105-7004
DO  - 10.55555/oajea.2020.4402.010
UR  - https://journal.bsaps.com/article/9727
ER  -