Exact(12)
We simulated the fault slip and temperature evolution by using the adaptive time step (e.g., Thatcher and England 1998) controlled by the amount of heat production.
This formulation of HMM with the adaptive time step method has been implemented and tested in homogeneous constant volume auto-ignition in hydrogen, methane and butane mixture under various initial temperatures, pressures and equivalence ratios.
The first one is based on the Courant-Friedrichs-Lewy (CFL) condition, which is widely used to control the time step for the explicit shallow water equation solvers; the second one is the adaptive time stepping (ATS) reported by Hunter et al. [1], which was specifically designed for a DWM.
This study investigates the effectiveness of a hybrid approach based on the artificial neural networks (ANNs) for time series properties, such as the adaptive time delay neural networks (ATNNs) and the time delay neural networks (TDNNs), with the genetic algorithms (GAs) in detecting temporal patterns for stock market prediction tasks.
What is unusual in our finding is that the adaptive time is so short that it is indistinguishable from the excitation time.
The implementation of timestep size control for the adaptive time integration is standard.
Similar(48)
As a manner to enhance the performance prediction of NCL, this study provides an evaluation of the adaptive time-stepping scheme that the RELAP5/3D code uses to calculate the time-step size applied during a transient simulation.
Fig. 6 VAD result of sp02.wav added by 0-dB babble noise delta (t)=0.15cdot 0.8+0.2cdot frac{1}{10}{disum_{i=t-1}^{t-10}mathrm{v}mathrm{a}mathrm{d{a}mathrm{d}(i)} (22 where vad represents the average likelihood ratio logarithm and δ(t) denotes the adaptive time-frequency threshold.
Finally, a synthetic two-dimensional coupled problem is established to apply the proposed adaptive time stepping approach, where the numerical results including the computational efficiency are compared with the results from regular iteratively coupled method and the fully coupled model.
This will be area for future research as noted in the sub-section " Adaptive Time Stepping of the Controller" in the " Discussion and Conclusions" section.
In processing practical pipeline vibro-acoustic signals, with the proposed method the peak of adaptive time delay estimate of leak signals, which determines the location of a leakage, becomes more distinguished, and thus the error of leakage location is improved.
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