Adaptive Japanese Teaching Optimization Based on Classification and Regression Tree
Cai Yu · 2017
In response to the problems that exist in adaptive Japanese teaching, this paper, after describing the characteristics of adaptive Japanese teaching by the attenuation function introduced, an optimization model based on the classification regression tree is proposed and further to abstract the method of classification of feature identification set. Based on that, a model of adaptive optimization of Japanese teaching is put forward by using the teaching optimization type information. Finally, the corresponding form of the attenuation function is discussed under the premise of the classification method of Japanese teaching feature recognition set. The experimental results show that the adaptive Japanese language teaching optimization model based on the classification regression tree can be used in daily English teaching.