自动化专业智能检测技术及仪表课程教学改革  

Curriculum Enhancements about Intelligent Detection Technology and Instrument for Automation Specialty

作　　者：李邓化[1] 高晶敏[1] 

机构地区：[1]北京信息科技大学自动化学院智能科学与技术系,北京100101

出　　处：《计算机教育》2010年第15期123-125,142,共4页Computer Education

基　　金：北京市属市管高等学校人才强教计划资助项目(PHR200907124)

摘　　要：根据工业自动检测特点及发展趋势,在分析自动化专业"智能检测技术及仪表"常规课程内容的基础上,阐述在智能检测技术及仪表课程中加入人工智能检测技术的内容,将BP人工神经网络概念用于自动检测及智能仪表。两届教学实践表明,智能检测技术及仪表课程的教学和实验效果很好。Teaching reform and practice about ＂Intelligent Detection Technology and Instrument＂ for automation specialty is discussed.According to the characteristics and development trend of industry automation detection,incorporation the content of artificial intelligence technology（such as BP artificial neural network） to the course of ＂intelligent detection technology and instrument＂,to make the students of automation specialty to establish the concepts of the artificial intelligence and hold the related techniques.The good teaching result was achieved through the two years of teaching practice.

关 键 词：检测技术 人工智能 神经网络 教学改革 

分 类 号：G642[文化科学—高等教育学]