An ant colony optimization-support vector machine for ground target optimal tracking

The ground target optimal tracking has a great important for the ground target tracking of UAV. This study presents an ant colony optimization-support vector machine for ground target optimal tracking. Ant colony optimization is applied to select the appropriate parameters of support vector machine here. The optimum process of the ant colony optimization-support vector machine forecasting process is given. Finally, experimental study of ant colony optimization-support vector machine for ground target optimal tracking is performed. The experimental results show that the ground target tracking effects of ant colony optimization-support vector machine are better than support vector machine and BP neural network.