Abstract
In view of the traditional student information management system can not maintain a certain system response speed under a large number of concurrent users, this paper designs a hierarchical management system of college student information based on deep learning. First of all, we use RFID technology to build the hardware module of student information collection, and design the software part of the management system. Then it constructs the structure of student information hierarchical management system, and determines the model of the system for student information hierarchical management. At last, we build the deep neural network model, and use the student information data set to train the neural network, realize the hierarchical management of university student information, and complete the design of the management system. By comparing with the traditional management system, it is proved that the management system based on deep learning can keep high response speed and superior system performance under a large number of concurrent users.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Chen, J., Wang, Z., Chen, J., et al.: Design and research on intelligent teaching system based on deep learning. Comput. Sci. 46(1), 550–554+576 (2019)
Huang, Y., Wang, H., Cheng, F., et al.: Design and performance test of USV information management system based on time-series database. Chin. J. Ship Res. 14(04), 161–166 (2019)
Cao, B., Chen, W., Wei, S.: Stereoscopic monitoring and management information system of riverbank dynamic changes. J. Yangtze River Sci. Res. Inst. 36(10), 28–33 (2019)
Xiao, X.: Automatic classification of electronic documents based on deep learning: case study of electronic image documents. Inf. Res. (06), 78–82 (2019)
Wang, C., Xu, J.: Crew physioiogicai information management system based on Internet of Things. Electr. Autom. 41(03), 7–9 (2019)
Zhang, Y.: Simulation of real-time management of orderly access information for urban traffic in big data. Comput. Simul. 35(12), 139–142 (2018)
Qin, J., Qiu, L.: Design and development of a non-contact attendance system for College Students. Electron. Test (06), 58–59 (2019)
Zhu, J.: The design and implementation of the employment information system for students in higher vocational colleges. Autom. Instrum. (11), 141–143 (2018)
Zhang, W.: Research on data mining of the Internet of Things based on cloud computing platform. IOP Conf. Ser. Earth Environ. Sci. 113(1), 49–53 (2018)
Wei, Y., Li, W., Zhou, L., et al.: Construction and application of geological information management system in karst hydrogeological environment. Carsologica Sinica 37(01), 146–153 (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Jiang, T., Song, Y. (2020). The Information Grading Management System of College Students Based on Deep Learning. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-63952-5_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-63951-8
Online ISBN: 978-3-030-63952-5
eBook Packages: Computer ScienceComputer Science (R0)