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Multi-task learning algorithm design and implementation strategy for intelligent police academy management system

Zemin Qin

Zemin Qin

School of Public Security, Guangxi Police CollegeNanning, China
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Qin, Zemin
  
24 mars 2025
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Publié en ligne: 24 mars 2025
Reçu: 23 oct. 2024
Accepté: 03 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0712
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© 2025 Zemin Qin, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

System structure
System structure

Figure 2.

Total system packet diagram
Total system packet diagram

Figure 3.

Student information management service flow chart
Student information management service flow chart

Figure 4.

Student status management system business flow
Student status management system business flow

Figure 5.

MTL structure
MTL structure

Figure 6.

Example of student assessment
Example of student assessment

Figure 7.

The data distribution minimizes the visualization results
The data distribution minimizes the visualization results

Figure 8.

Influence of different time weight parameters on MAE value
Influence of different time weight parameters on MAE value

Results of inter school transfer experiment

A→B B→A A→C C→A A→D D→A B→C C→B B→D D→B C→D D→C
Original 0.678 0.676 0.686 0.651 0.641 0.630 0.627 0.673 0.662 0.691 0.650 0.638
DKT+F 0.653 0.646 0.696 0.663 0.620 0.637 0.642 0.683 0.695 0.656 0.634 0.689
SKVMN+F 0.654 0.708 0.688 0.656 0.657 0.692 0.663 0.654 0.632 0.647 0.683 0.670
GKT+F 0.700 0.692 0.659 0.635 0.666 0.638 0.692 0.643 0.676 0.639 0.644 0.669
DKVMN+F 0.707 0.622 0.655 0.682 0.653 0.645 0.698 0.625 0.674 0.654 0.685 0.664
MTL-QM 0.639 0.628 0.649 0.684 0.623 0.706 0.684 0.663 0.694 0.697 0.629 0.701
MTL-Q 0.728 0.719 0.744 0.726 0.700 0.729 0.704 0.728 0.734 0.721 0.731 0.708
MTL-M 0.724 0.728 0.736 0.724 0.703 0.739 0.738 0.730 0.722 0.726 0.742 0.706
MTL 0.754 0.752 0.751 0.759 0.765 0.758 0.762 0.759 0.760 0.761 0.762 0.754

Comparison of accuracy of different recommendation algorithms

DS Precision
PMF CF MTL
FrcSub 0.4385 0.2568 0.5273
Math1 0.4975 0.2956 0.5528
Math2 0.4394 0.2754 0.5181

Data statistics

DS Question Number Students Number Question Answered Number Knowledge Point Number
zx,math 70,628 5,000 387,329 8517
zx.pyhsics 57,720 5,000 231,826 684
School-A 602 52 3.974 29
School-B 698 61 5,011 31
School-C 654 59 4,748 23
School-D 758 56 4,398 19
Langue:
Anglais
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1 fois par an
Sujets de la revue:
Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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