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Wireless network transmissions may be able to transmit data at a fast enough rate to support most applications but some applications have an issue with space available to hold constant updated information. These types of applications can not be given extra space to store data so a "cache mechanism" will be needed to control data stored locally. The simulation used will consist of a wireless...
Based on Dabholkar's service quality model about retailing, evaluation model of outlets' service quality was established. Using Structural Equation Model (SEM), after data processing by data analysis software SPSS13.0 and model analysis software AMOS7.0, the rationality and applicability of the model was good to further analyzed. The model of Physical Aspects, Reliability, Personal Interaction, Problem...
The total mean-square error (MSE) of the estimated model, defined as the sum of the standard model variance and the bias variance, is used to define the truncation level of the singular-value decomposition to give a reasonable balance between model resolution and model variance. This balance is determined largely by the data and no further assumptions are necessary except that the bias terms are estimated...
Genetic algorithm, one of the new methods for global non-linear optimization problem, has been applied in magnetotelluric data analysis. In this paper, the magnetotelluric inverse problem was studied by a hybrid genetic algorithm, which was based on the combination of simplex method and genetic algorithm. The standard genetic algorithm has poor local search ability, large amounts of calculation, and...
The two-dimensional magnetotelluric inverse problem is ill-posed and the inverse results are unstable and non-unique. It means that different geo-electrical model could fit the observed data with the same accuracy. A stable solution of the ill-posed inverse problem can be obtained by utilizing the regularization methods in the objective function. Solving large scale linear equation of inverse problem,...
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