摘要
通过样本例子的训练,建立状态空间到操作空间的对应关系是学习控制理论研究的核心。给出了用决策树学习方法,建立状态空间到操作空问进行影射的方法——基于决策树学习的空间变换方法。该方法可以应用到智能机器人控制、模式识别、专家系统的知识获取等方面。文中给出的有关智能机器人控制方面的数值实验结果表明,基于决策树学习的空间变换方法是行之有效的。
Characteristic space is a base concept in artificial intelligence field. A lot of problems can be simplified or solved by means of characteristic space transformation method in artificial intelligence field. This paper presents a characteristic space transformation method based on learning induction of decision trees from example, and the method has been applied to intelligent control of robot. This paper gived numerical experimentation shows that the method not only possesses a high sense of theory but possesses a high sense of application.
出处
《计算机工程与设计》
CSCD
2002年第10期24-26,78,共4页
Computer Engineering and Design
