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The Effect of Educational Resource Allocation on Teaching and Teaching Ability in Colleges and Universities Based on BP Neural Networks

Qian Wei

Qian Wei

Applied Technology College of Soochow UniversitySuzhou, China
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Wei, Qian
  
Mar 17, 2025
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Published Online: Mar 17, 2025
Received: Nov 04, 2024
Accepted: Feb 08, 2025
DOI: https://doi.org/10.2478/amns-2025-0188
Keywords
© 2025 Qian Wei, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

PSO algorithm chart flow
PSO algorithm chart flow

Figure 2.

BP neural networks which trained by PSO algorithm chart flow
BP neural networks which trained by PSO algorithm chart flow

Figure 3.

Education resource configuration training flow chart
Education resource configuration training flow chart

Figure 4.

The balance of education resource allocation was compared
The balance of education resource allocation was compared

Figure 5.

The comprehensive efficiency contrast of universities
The comprehensive efficiency contrast of universities

Independent sample inspection

Levin variance equivalence test Average equivalent t test 95% Confidence Interval of the Difference
F Sig. t Freedom Sig.(2-tailed) Mean difference Standard error difference Lower Upper
Assumed equal variance 1.325 0.257 4.341 75 0.000 8.4526 1.8365 4.235 12.56
Unassuming equal variance - - 4.332 73.245 0.000 8.4526 1.8324 4.136 12.59

Education resource allocation optimization results

A B C D E
1 22368 342978 1142 1115 1876
2 25139 326393 1027 1209 1902
3 33283 443335 1606 1741 2183
4 33047 401181 2162 1444 3438
5 33208 328174 1181 726 2795
6 27016 345810 1257 2164 1888
7 20200 200206 795 1380 1272
8 29730 319980 1185 1279 1964
9 17174 397496 1222 1450 954
10 23559 274153 1143 1549 2558
11 25792 269829 1391 1278 1496
12 31220 282596 1419 2744 1612
13 14444 169864 1265 909 1121
14 80203 796287 4204 8546 6377
15 93035 643165 4286 7520 7336

Evaluate the hierarchical class

Level v g a b
Content Very good Good Acceptable level Differ from
Desired Output [1,0,0,0] [0,1,0,0] [0,0,1,0] [0,0,0,1]
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