A self learning control method is applied to optimize performance of internal combustion engine.
提出了一种可在内燃机电子控制中用于优化内燃机性能的自学习控制方法。
The result of experience has proved the method using PSO to optimize the evaluation function is effectively to enhance the strength of the Chinese-chess program by self-learning.
实验证明，利用粒子群算法对评估函数进行参数优化是可行的，通过大量的训练后这种算法不但有效地提高了象棋程序的水平而且使象棋具有了自学习的能力。
应用推荐