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Fig. 1
Proposed framework of MWNNs using the GA-SQP to solve the biological-based NIDS. GA, genetic algorithm; MWNNs, Morlet wavelet neural networks; SQP, sequential quadratic programming.
Fig. 2
Best weight vectors set and best/mean results comparison with reference solutions to solve NIDS. NIDS, non-linear influenza disease system.
Fig. 3
Best and mean values of the AE for each group of NIDS. AE, absolute error; NIDS, non-linear influenza disease system.
Fig. 4
Statistical performances based on EVAF, MAD and TIC operators for solving NIDS. MAD, mean absolute deviation; NIDS, non-linear influenza disease system; TIC, Theil’s inequality coefficient.
Fig. 5
Convergence performances based on TIC, EVAF and RMSE operators for solving NIDS. NIDS, non-linear influenza disease system.