These methods are applied to nonlinear reliability prediction when compared with physical model methods, which mainly include computational intelligence methods, statistical methods, and state space methods.
Compared with physical model-based methods, data-driven methods are a good choice in describing the complex and nonlinear degradation process.
To investigate the time-lapse, three-dimensional (4D) stress during shale gas production, a multi-physical modeling method is proposed.
In physical modeling of the method of PH transformation and determination of extended laser rout image coordinates using the graphic adapter Radeon X1300 (Advanced Micro Devices, Inc., Sunnyvale, USA), processing of a single image takes about 0.6 s.
Physical modeling of the method of PH transformation for fast image recognition using the Radeon X1300 graphic adapter demonstrates that processing of one image requires approximately 0.6 s (3.32 s [21]), and the network processing requires 1.52 s (8.4 s [21]).
Proposers should always be aware of possible limitations in the physical models and methods they are using for observation planning purposes.
The literature is dominated by studies that have used statistical (empirical) and physical model-based methods applied to coarse resolution data covering the visible, near infrared, and/or shortwave infrared regions of the spectrum.
The NEPTUNE activities include software development, research in physical modeling and numerical methods, development of advanced instrumentation techniques and new experimental programs.
However, such a revolution still requires tremendous improvements in the Accuracy of physical modeling and numerical methods, the Capability of the computing hardware and software, and the Efficiency of the simulation activities, or in short, ACE.
