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Development of a framework for the effective evaluation of networks would also be beneficial.
In the recent years, several different macroscopic mobility models have been proposed and used for performance evaluation of networks.
Two different ANFIS networks (by changing the training optimization algorithms) were compared with evaluation of networks accuracy in bubble point pressure prediction and subsequently the suitable network was determined.
In this regard, different networks (by changing the number of neurons in the hidden layer and algorithm of network training) were compared with evaluation of networks accuracy in extraction recovery prediction.
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However, there has been little work on network survivability evaluation of network mobility.
In order to improve the evaluation of network performance, MATLAB6.5 is used in simulation experiment.
In this review, general features of crosslinking and evaluation of network structure are described.
As a consequence, the network survivability has become a significant element for network design and performance evaluation of network systems.
The evaluation of network reliability, with two state components, is a common task in power distribution systems' reliability assessment.
This paper introduces a unified general model for efficiency evaluation of network production systems when arbitrary relations between individual sub-processes are allowed.
Providing statistical models of the interference power is essential to allow for an accurate evaluation of network performances without the need for lengthy and costly Monte Carlo simulations.
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