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Zhu, Zhao and Wang [26 28] studied several reaction diffusion malware propagation models and obtained some results for stability and bifurcation of positive equilibrium points.
Next Geng and Dai [20] proposed some new ((2+1))-dimensional discrete models and obtained some algebraic-geometric solutions by applying the nonlinearization method.
To validate this formulation, we compare the results with existing PRB models and obtained equivalent if not a more accurate set of PRB parameters.
We used a pulse of the band-pass-filtered (0.1 0.5 Hz) acceleration waveform from KTP as input motion passing through the initial models and obtained simulated ground motions at the sediment sites.
We tested all three different cost models and obtained identical results.
We also performed the above analysis after excluding S. pombe sequences from the training sets and generating new models and obtained almost similar results.
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Dynamic metrics concern the execution of BPMN models and obtain their values from log files.
We then summarize all the predictions from the 1050 models and obtain a prediction histogram defined as.
Finally, to validate the models and obtain an unbiased estimate of future model performance we used the Bootstrap method proposed by Efron.
Scholars have studied dynamical behaviors by constructing a stochastic model and obtained many important results.
We also used a linear regression model and obtained similar results, but a loss of power.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com