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Exact(32)
To overcome these issues, this study presents a distribution-based update rule for PSO algorithm.
The update rule for updating the control points have been derived and a mean square analysis has been carried out.
and the update rule for unknown parameter as below (15).
Let μbe a update rule for random variables.
The update rule for can be written as (10).
The update rule for the dual variables at iteration is then (17).
Similar(28)
Its distinctive characteristics can modify the update rules for the two message propagations used in affinity propagation (AP).
In this research, failure formulation, controller structure and adaptive update rules for handling uncertainties from both the system dynamics and the failures are studied.
To do so, we have carefully analyzed the parameter training processing of Slope-one-based recommenders to design the incremental update rules for involved parameters reflecting data increments in dynamic environments.
First, we derive the iterative update rules for obtaining W i that optimizes (30).
Similar to (41), we can obtain the update rules for vkj,n as.
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