The simulation results show that the quality of images generated by neural networks is similar to that produced using traditional methods, which verifies the high value of our research, which has shown that the neural network technology is useful and efficient when applied to fractal image compression and decompression.
The improvement of DMF exceeds other methods, which verifies the effectiveness of the fusion algorithm.
Adding oriented standard deviation to local texture descriptors, LBPS and ALBPS, improves both the original LBP and ALBP methods which verifies the effectiveness of our proposal.
The tested specimens were modeled by a finite element method, which verified with experimental results.
In order to explore the fundamental nature of the hydroplanes system, the present paper, Part II of this work, focus on two aspects: (i) the analysis of the full-scale hydroplanes system hydroelastic response based on Computational Fluid Dynamics/Computational Structure Dynamics (CFD/CSD) two-way coupling method which verified by the AGARD 445.6 wing standard flutter model.
In Table 4, we show the results of the 50th, 150th, 250th, and 350th time levels of the three different grid sizes (Delta t = 10^{-5} ), (Delta t = 10^{-6}), anDeltalta t =10^{-7}) for SMLP and SMTR methods when (N=8, 16, 32, 64), which verify that the sinc method is accurate enough.
Numerical experiments are carried out in Section 4, which verify the effectiveness of our method and support the theoretical analysis.
Simulations based on a reliable turbofan model are presented, which verify the stability and effectiveness of the proposed method.
Improved recognition performances compared to the original GEI and baseline methods are obtained, which verifies the effectiveness of the proposed SQQ, SQW methods.
The computed distribution of cracking damage is consistent with the actual condition and the results of model test and available methods in literature, which verifies the validity of the calculation model.
