用支持向量机建模学习过程  

Use of Support Vector Machines to Model the Learning Process

作　　者：刘宏义[1] 

机构地区：[1]中国人民解放军边防学院信息化研究试验室,陕西西安710108

出　　处：《电子科技》2012年第9期60-62,66,共4页Electronic Science and Technology

摘　　要：在游戏开发的人工智能领域中,关键部分是学习过程。而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。为解决这个问题,提出使用支持向量机技术,并为这种学习分类器引进了一个时间概念,这样,系统就可以容易地忘记过去的事情,同时文中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。In the field of the artificial intelligence for game development, the learning process is very impor- tant. In the classical learning process much time is taken to forget old rules learn new rules. In order to solve the problem, this paper puts forward the method of Support Vector Machines. By introducing the time concept for this method, the system can easily forget old rules. This paper also brings forward an effective solution to both the limit of amount of Support Vector Machines and the limit of CPU＇s consumption.

关 键 词：游戏开发 人工智能 支持向量机 学习过程 

分 类 号：TP317.6[自动化与计算机技术—计算机软件与理论]