大学物理 ›› 2014, Vol. 33 ›› Issue (4): 44-44.

• 著者文摘 • 上一篇    下一篇

以Hopfield神经网络模型为例的大学物理教学设计

王瑞敏   

  1. 闽南师范大学物理与信息工程学院,福建漳州363000
  • 出版日期:2014-04-25 发布日期:2014-04-20

College physics teaching design of exemplifying Hopfield neural network model

  • Online:2014-04-25 Published:2014-04-20

摘要: 以Hopfield神经网络模型为实例设计一堂大学物理拓展课.该课堂设计运用知识迁移规律使学生将物理学中研究问题的方法应用到新的知识领域.该过程引导学生学习新知识,并体会大学物理中所内涵的自然科学研究方法.

关键词: 教学设计, Hopfield神经网络模型, 知识迁移

Abstract: An extending class of college physics which designed. Knowledge transfer is naturally used to make the researching area mostly as they can. This course is not only employs Hopfield neural network model as an example is students apply the research method of physics to the new guiding students to learn new knowledge but also rendering them to taste the method of research in nature science embedded in college physics.

Key words: teaching design, Hopfield neural network model, knowledge transfer

中图分类号: 

  • G642.0