The shape-preserving response prediction (SPRP) technique is utilized to predict the high-fidelity model response, here, the airfoil pressure distribution.
ANFIS is a type of adaptive multi-layered feedforward networks [23], applied to nonlinear prediction where past data samples are utilized to predict the data samples ahead.
Then, an Edwards Wilkinson-type Edwards Wilkinson-typeo prequatione surface evolutisn and forms the basis for the design of a predictive feedback controller.
The simulation is utilized to predict the effect of antisense molecules targeted to different T7 mRNA.
The linear buckling analysis has been utilized to predict the buckling modes.
A 2D finite-element model is utilized to predict the cyclic behavior of the specimens.
Based on different similarity matrices, collaborative filtering is utilized to predict the drug-disease incidence matrix.
Accordingly, a nonlinear damage accumulation rule is utilized to predict the onset of fracture.
Finally, Tresca and Von Mises' yield criteria are utilized to predict the onset of yielding.
In this study, artificial intelligence techniques were successfully utilized to predict the missing information.
In addition, the proposed approach can be utilized to predict the cracking of non-straight fissures with acceptable accuracy.
