仿真实验及在伺服电机转速控制中的应用表明，该算法具有较快的学习速度及良好的收敛性能，并有效地克服了传统PID算法的缺陷。
The simulation and motor control show that the new algorithm has fast learning rate, good convergence properties and can overcome the defects of traditional PID algorithm.
对动态图像的仿真实验表明，改进后的主动轮廓线模型能很好地收敛到物体的凹陷边界，且具有良好的抗噪性。
The simulative experiment of dynamic image shows that the boundary of a hollow object can be well reached in the improved active contour model, and the model has a good anti-noise property.
这种方法从理论上控制了机器学习的复杂性，同时具有良好的收敛速度和推广能力。
The SVM not only controls the complexity of the machine learning, but also has nice convergence speed and generalizing ability.
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