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用普通方法难以很好地解决动态调度的问题，仿真方法和专家系统相结合是一个较好的解决办法，但是知识的缺乏制约了它的应用，机器学习是获取调度知识的一个重要途径。提出一种新的机器学习方法，并用实例说明其可行性。
It is difficult to solve the problem of dynamic scheduling by ordinary methods. The combination of simulation method and expert system is a better solution, but the lack of knowledge restricts its application. Machine learning is an important way to obtain scheduling knowledge. A new method of machine learning is proposed, and an example is given to illustrate its feasibility.