Research Article
Allocation Method of Teaching Resources of Talent Training Course Based on BP Neural Network
@INPROCEEDINGS{10.1007/978-3-031-50543-0_10, author={Yan Liu and Senwei Wang and Hua Sui}, title={Allocation Method of Teaching Resources of Talent Training Course Based on BP Neural Network}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I}, proceedings_a={ADHIP}, year={2024}, month={3}, keywords={BP Neural Network Personnel Training Curriculum Teaching Resources Configuration Method}, doi={10.1007/978-3-031-50543-0_10} }- Yan Liu
Senwei Wang
Hua Sui
Year: 2024
Allocation Method of Teaching Resources of Talent Training Course Based on BP Neural Network
ADHIP
Springer
DOI: 10.1007/978-3-031-50543-0_10
Abstract
The traditional allocation method of teaching resources is unbalanced, which leads to the low utilization value of teaching resources in talent training courses. In order to make the allocation of teaching resources of talent training course balanced and facilitate the management and application of teachers before, during and after teaching, a method of allocating teaching resources of talent training course based on BP neural network is proposed. Firstly, the BP neural network model is constructed according to the framework of teaching information resource allocation of talent training courses, and the information characteristics of teaching resources of talent training courses are extracted. According to the characteristics, the target object feature tag is managed to complete the information allocation of teaching resources of talent training courses. The experimental results show that the proposed method has good performance in practical application and can promote the utilization value of teaching resources in talent training courses.
