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Computational Intelligence and Neuroscience
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Computational Intelligence and Neuroscience
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2021
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Article
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Tab 3
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Research Article
Modeling and Analysis of Data-Driven Systems through Computational Neuroscience Wavelet-Deep Optimized Model for Nonlinear Multicomponent Data Forecasting
Table 3
Analysis of forecasting performance under different wavelet decomposition layers.
Combination mode
Number of levels
Number of GRUs
RMSE
MAE
NRMSE
SMAPE
R
Mode no. 1
1
2
48.5712
32.8852
0.2176
0.7120
0.5361
Mode no. 2
2
3
48.9235
31.9738
0.1993
0.6746
0.5433
Mode no. 3
3
4
50.5702
32.0177
0.1675
0.6833
0.5562
Mode no. 4
4
5
48.2256
31.9763
0.1450
0.7128
0.6823
Mode no. 5
5
6
30.5029
24.0812
0.0991
0.6417
0.9086
Mode no. 6
6
7
22.0185
16.9521
0.0732
0.5773
0.9311
Mode no. 7
7
8
21.7539
16.3492
0.0704
0.5553
0.9270
Mode no. 8
8
9
21.7300
16.2063
0.0682
0.5637
0.9276
Mode no. 9
9
10
21.7168
16.6134
0.0703
0.5737
0.9329
Mode no. 10
10
11
22.1336
16.9992
0.0717
0.5802
0.9283