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 modeNumber of levelsNumber of GRUsRMSE MAE NRMSE SMAPER

Mode no. 11248.571232.88520.21760.71200.5361
Mode no. 22348.923531.97380.19930.67460.5433
Mode no. 33450.570232.01770.16750.68330.5562
Mode no. 44548.225631.97630.14500.71280.6823
Mode no. 55630.502924.08120.09910.64170.9086
Mode no. 66722.018516.95210.07320.57730.9311
Mode no. 77821.753916.34920.07040.55530.9270
Mode no. 88921.730016.20630.06820.56370.9276
Mode no. 991021.716816.61340.07030.57370.9329
Mode no. 10101122.133616.99920.07170.58020.9283