TY  - JOUR
AU  - Wang, Ahmed
AU  - Mensah, Hassan
TI  - Bridge Structural Health Monitoring using Particle Swarm Optimization
JO  - Open Access Journal of Engineering Applications
PY  - 2016
VL  - 40
IS  - 1
SP  - 293
EP  - 317
AB  - A reliable assessment of bridge structural health monitoring is fundamental to the planning and management of urban air pollution control. The dataset was partitioned into training and testing subsets for evaluation with particle swarm optimization. The enhanced design delivered a performance gain of 41% over current practice. The insights gained here may help reduce national dependence on costly imported technologies and equipment.
KW  - bridge structural health monitoring
KW  - particle swarm optimization
KW  - maximum power point tracking
KW  - biodiesel
SN  - 3105-7004
DO  - 10.55555/oajea.2016.4001.015
UR  - https://journal.bsaps.com/article/9282
ER  -