Prediction of the Number of Postgraduate Entrance Examination Applicants Based on LSTM and Statistical Analysis Method-Reference-Cited by-同舟云学术

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Prediction of the Number of Postgraduate Entrance Examination Applicants Based on LSTM and Statistical Analysis Method

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
language:
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Author:

Ying Youwei¹^ORCID,Wang Zhen¹^ORCID,Li Hui¹^ORCID,Yang Wenying²^ORCID,Zhu Xiaodan³^ORCID,Kou Lei¹^ORCID

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), China

2. Inspur General Software co. ltd, China

3. Hulunbuir University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606043.3606045

Reference10 articles.

1. Application of BP Neural Network Based on Genetic Algorithms Optimization in Prediction of Postgraduate Entrance Examination

2. Research on Market Survey of Postgraduate Entrance Examination Based on Data Analysis

3. Classification of Graduates Student on Entrance Selection Public Higher Education Through Report Card Grade Path Using Support Vector Machine Method

4. Investigation of recurrent networks LSTM in the problem of Covid-19 forecasting

5. Performance Prediction Method of Examinees Based on Matrix Completion

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