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Behavior of the melts under shear stress was simulated by appropriate biasing of the bead move probability.
In order to improve the accuracy of EM algorithm, a parameter called as move probability is introduced into the move formula where an elitist strategy is also adopted.
Perhaps the most influential of these was provided by Michael Rothschild and Joseph Stiglitz: If we move probability mass from the centre to the tails of a probability distribution, while keeping its mean unchanged, then we increase the risk associated with the distribution.
During reconstruction, particular moves are selected from the move set with a move probability that is proportional to the past move acceptance probability for that move.
Similar(56)
Similarly, for each parameter there is a moving probability associated with every allowed value.
Within the 10000 simulated seconds, the MN moves randomly among the domains based on a moving probability of 0.5.
This moving probability is used to determine the chance that a particular ant will select a particular descriptor in the next iteration.
The MN stays in one domain for 10 seconds and then may have the chance to switch into a neighbor domain based on the moving probability, which is set to 0.5.
For each descriptor, a moving probability is calculated by taking the average of the fraction of ants which have currently selected that descriptor and the fraction that have selected that descriptor in their best model.
At the start of the optimisation phase, the ants move more or less randomly, as the moving probabilities are essentially equal for all features and parameter values.
This global optimisation procedure is combined with local optimisation due to the influence of the current positions of the ants on the moving probabilities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com