Affiliations: Department of Foreign Languages, Huangshan University, Huangshan, Anhui, China
Correspondence:
[*]
Corresponding author. Meng Yin, Department of Foreign Languages, Huangshan University, Huangshan, Anhui 245041, China. E-mail: yinmengtodd@126.com.
Abstract: It is of great significance to explore the prospects of English intelligent learning in the field of basic education and to understand the current status and practical needs of mobile learning technology. Based on the intelligent English learning and teaching needs, this study constructs an intelligent English learning system based on improved neural network. The system uses wavelets to replace the neurons in the traditional neural network, establishes the connection between the wavelet transform and the network coefficients through affine transformation, and uses the wavelet neural network to correct the network parameters, so as to avoid the problem of being partially optimal due to the sensitivity of the initial value to some extent. Moreover, the English learning system adopts a mature C/S structure, and the system is divided into two parts and four layers. In addition, this study designed the experiment to analyze the performance of the English learning system, set the experimental group and the control group to conduct practical analysis. The research results show that the system constructed in this paper has certain effects and can provide theoretical reference for subsequent related research.
Keywords: Neural network, improved algorithm, intelligent platform, English learning, system construction
