摘要
现阶段,特征提取、模式匹配及语义分析与自然交互等技术的快速发展,促使人工智能在众多领域中得到了运用。人工智能的普及使用,极大地提升了工业自动化的水平。文章首先对人工智能技术的具体应用、发展情况进行分析,然后以特征检测技术、特征提取技术、模式匹配技术、语义分析技术为切入点,探究其在模式识别中所包含的关键技术,目的是加深人们对人工智能的认识,使其可以得到更加充分、合理的应用。
At present,with the rapid development of feature extraction,pattern matching,semantic analysis and natural interaction,artificial intelligence has been used in many fields.The popularization of artificial intelligence has greatly improved the level of industrial automation.Firstly,the specific application and development of AI technology are analyzed.Then the key technologies in pattern recognition are explored from the point of feature detection technology,feature extraction technology,pattern matching technology and semantic analysis technology.The purpose is to deepen people’s understanding of artificial intelligence,so that it can be more fully and reasonably applied.
作者
周波
谢光
ZHOU Bo;XIE Guang(University of Sanya,Sanya 572022,China)
出处
《现代信息科技》
2019年第22期110-111,共2页
Modern Information Technology
关键词
人工智能
模式识别
特征检测
特征提取
语义分析
artificial intelligence
pattern recognition
feature detection
feature extraction
semantic analysis
