基于神经网络题目的自动化解析研究

Research on automatic analysis based on neural network topic

在线练习是在线教育的必备一环,但从传统线下教育转到线上教育时需要将往年积累的海量习题导入在线教育配套的数据库中。这一过程会消耗大量的人力、财力,出现效率低、出错率等一系列问题。针对这些问题,文章提出一种基于神经网络的实现模型。

Online exercises are a necessary part of online education.However,when the traditional offline education is transferred to online education,it is necessary to import the massive exercises accumulated in previous years into the supporting database of online education.This process will consume a lot of human and financial resources,resulting in a series of problems such as low efficiency and error rate.To solve this problem,an implementation model based on neural network is proposed.