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A diffusion model based on error function solutions to Fick's second law was developed to quantitatively illustrate the combined effects of normal B diffusion in the TiB phase and anomalous B diffusion in the Ti phase in accelerating TiB layer growth.
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The design and analysis of the GP based battery capacity models involves the statistical validation of the seven objective functions based on error metrics with 2-D and 3-D surface plots.
ANFIS can be used to train the FIS model by modifying the membership function parameters based on error chosen criterion to cope with the training data.
Dynamic sizing of packets based on error history.
Envy is often based on error.
Specifically, assuming that a regular (in cell shape) and uniform (in cell size) computational mesh is used (as is commonly done in computation), we develop a criterion for mesh adaptation based on an error function whose definition is motivated by the analysis of function variation and local error behavior for linear interpolation.
The linear least square (LLS) method and the features of evolutionary strategies are employed to find the applied voltages and shapes for the active piezoelectric actuators, respectively, in order to achieve the desired structural shapes by gradually removing the active piezoelectric material part of the element based on the error function sensitivity number.
The equations are based on the error function solution to the diffusion equation and do not take into account variations of the diffusivity with composition.
It is based on an error function that uses connectivity between nodes and information about their maximum velocity and that is solved by iterative minimization using unconstrained optimization.
Bulk diffusion test was adopted for two years to determine the time-dependent coefficient m of chloride diffusion for all mixtures based on the error function solution to Fick's law.
Peng and Zhang [77] proposed a back propagation (BP) algorithm based on modified error function to overcome a major problem of long training time of the BP algorithm and chance of falling into local minima.
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