On Methods of Transfer as a Learning based on Artifical Neural Networks
This paper studies learning transfer based on the adaptive learning theory, intelligence cognitive model theory and knowledge input theory under the large framework of updated cognitive theory of psychology. It mainly focuses on the method and experiment of positive transfer in production systeM self-adaptability model with the help of updated Artifical Neural Networks communication technology. These methods can help provide students with strategies in coping with their learning so that they could become self-directed learners through the guilded adaptive learning and intelligence teaching.
adaptive learning learning transfer artificial neural networks
Lan Wang
Computer and Information Engineering Institute TianJin Normal University,TJNU Tianjin,China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
344-347
2009-12-26(万方平台首次上网日期,不代表论文的发表时间)