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 Artificial 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.