摘要
英语线上教学在智能交互上一直存在较大困难,主要是缺少智能算法快速理解相关需求,导致系统性能下降.本文提出基于多隐层神经网络的英语线上教学交互系统。设计英语线上教学交互系统硬件架构,完成英语线上教学信息收集模块、学生学习模块设计和英语线上教学的人机交互界面设计,利用多隐层神经网络结构,最大程度提取数据里的需求,完成智能需求学习过程,并做出交互反应。系统测试结果表明,方法具有更强的内存使用状况和交互能力,可应用到实际教学中。
There are many difficulties in the intelligent interaction of English online teaching, mainly due to the lack of intelligent algorithm to quickly understand the relevant requirements, which leads to the decline of system performance. This paper proposes the design of English online teaching interaction system based on multi hidden layer neural network. This paper designs the hardware architecture of English online teaching interaction system, completes the design of English online teaching information collection module, student learning module and human-computer interaction interface of English online teaching, uses the multi hidden layer neural network structure to extract the demand in the data to the greatest extent, completes the intelligent demand learning process, and makes interactive response. The system test results show that the online English teaching interaction system based on multi hidden layer neural network has stronger memory usage and interaction ability in terms of performance, and can be applied to practical teaching.
作者
王烨
WANG Ye(Harbin Medical University(Daqing),Daqing 163319 China)
出处
《自动化技术与应用》
2022年第10期183-186,共4页
Techniques of Automation and Applications
关键词
多隐层神经网络
英语线上教学
交互系统
信息收集
multi hidden layer neural network
English online teaching
interactive system
information collection
