Research on Learning Control and Decision of Foreign Language Based on Neural Network
Bing He · 2013
The study of CET4 and CET6 is the important part of English learning, and it is helpful for the comprehensive application of English and the work after graduation, so the learning methods of CET4 and CET6 have got more and more attention of teachers and students.This paper was based on double weighted neural network, and it used the new algorithm of continuous speech recognition to construct the model of continuous speech recognition, in this way it can avoid the influence of speech's misidentification on the listening of CET4 and CET6.It was on the basis of fuzzy neural network to put forward the fast learning algorithm of choosing nearest location.This algorithm can improve the learning efficiency, and it is helpful for the study of reading comprehension of CET4 and CET6.Finally this paper put forward the methods of learning CET4 and CET6, and it provided the theoretical basis for the control and decision of CET4 and CET6.