摘要
人工智能领域中的许多问题经常涉及到空间变换。本文提出了一种基于规则学习的空间变换方法。该方法可以应用到智能控制、模式识别、知识获取等方面。本文中给出的智能机器人控制方面的数字实验结果表明,基于规则学习的空间变换方法不仅具有重要的理论意义,而且具有广阔的应用前景。
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 rule from example .The method has been applied to intelligence control . This paper geved numerical experimentation shows that the method not only possesses a high sense of theory but possesses a high sense of application.
出处
《小型微型计算机系统》
CSCD
北大核心
1998年第6期49-53,共5页
Journal of Chinese Computer Systems
基金
国家自然科学基金