A solution for the subMDP modeling, this function can also be based on reinforcement learning tools [8]. 6.
With that premise, this approach basically predicts what the value of the phase component of the current frame should be using the information from previous frames; the deviation between that prediction and the actual value of the phase spectrum models this function [23]. 5.
However, due to the complexity of the models, this function is frequently a combination of several functions that represent the quality of the match in several wells and less attention is given to the influence of the objective function in the optimization process.
A new approach for modeling this function is proposed herein.
In the Volterra model and in model (1 - 2), this function is bX.
To test whether or not there was evidence that density-dependent population growth limited the population growth rates, we incorporated the logistic density dependence function in the population growth model and compared the goodness of fit of this model to the fit of the models without this function.
The following likelihood function is used to evaluate the goodness-of-fit of each model: This likelihood function assumes that model errors are normally distributed and that stochastic events on each population are primarily driven by external environmental effects [32].
We find that the success of breakthrough predictions is highly sensitive to the definition of the rock-physics transform; it is therefore important to model this transfer function accurately.
To model this, a function f PT (y i ), denoting the penalty costs when surgery i ∈ I is shifted y i time periods, is introduced.
Most of the classical snakes and active contour models use this function as a stopping criteria [5, 11 13, 17].
