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An Optimization Model of Financial Management Teaching Strategies Based on Reinforcement Learning

Fei Wang

Fei Wang

School of Economic Management, Daqing Normal UniversityDaqing, China
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Wang, Fei
  
17 mars 2025
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Publié en ligne: 17 mars 2025
Reçu: 17 oct. 2024
Accepté: 26 janv. 2025
DOI: https://doi.org/10.2478/amns-2025-0233
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© 2025 Fei Wang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Basic reinforcement learning framework
Basic reinforcement learning framework

Figure 2.

GRU internal structure
GRU internal structure

Figure 3.

Status indicates the structure of the model
Status indicates the structure of the model

Figure 4.

Structure of decision model
Structure of decision model

Figure 5.

Overall architecture of the course recommendation learning platform system
Overall architecture of the course recommendation learning platform system

Figure 6.

Different models are trained in 1M data sets
Different models are trained in 1M data sets

Figure 7.

The recommended accuracy of various models in different size data sets
The recommended accuracy of various models in different size data sets

Figure 8.

The reward curve of the teaching recommendation platform
The reward curve of the teaching recommendation platform

Figure 9.

The teaching results of the teaching recommendation platform
The teaching results of the teaching recommendation platform

Figure 10.

Recommendations for financial management teaching data
Recommendations for financial management teaching data

Financial management teaching systematically can test the results

Project CPU occupancy rate Memory occupancy rate Mean response time
Application server 26.35% 45.77% 267ms
Algorithm server(unrun) 17.62% 14.96%
Algorithm server(run) 49.15% 53.82%
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Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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