A Method of Determining Needy Students Based on Deep Learning
Xiao Wang, Sikai Wu, Quanyin Zhu · Journal of Physics Conference Series · 2018
For a long time, stipend has been send inaccurately due to China's national conditions. Machine learning has been used to find impoverished students and achieved some results, but it was unsupervised and the accuracy was difficult to measure. In order to ensure the stipend being distributed fairly, a method based on deep learning is presented in this paper. During the experiment, accuracy rate was reached to 96%, through use the data came from school one-card and school library. The results show that this method can effectively improve the accuracy of grants, can save labor cost.