用支持向量机为学习过程建模

在游戏开发的人工智能领域中，最关键的部分是学习过程．经典的学习系统需要花费很多时间忘记旧规则，同时学习新规则．为了解决这个问题，文中提出使用支持向量机这种技术，并为这种学习分类器引进了一个时间概念，这样，系统就可以很容易地忘记过去的事情．同时也为支持向量的数量限制和CPU消耗的限制提出了解决方法．．

Using Support Vector Machines to Model the Learning Process

In the field of the artificial intelligence for game development,the learning process is very important.Classical learning process will spend lots of time forgetting the old rules,and at the same time learning the new rules.In order to solve the problem,this paper put forward the method of Support Vector Machines(SVM).By introducing the time concept for this method,system can easily forget the old rules,and also bring forward an effective solution to the amount limit of SVM and CPU's consuming.