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The designed networks are to recognize the current position and to estimate the next position of the endeffector.
The existence of time delay often causes poor performance or instability of the designed networks [5 8].
Therefore, it is important to ensure the stability of the designed networks in the presence of such uncertainties.
In this section, SUNY data from the year 2005 is used to assess the predictive performance of the designed networks.
Deploying sensors on specially designed networks to monitor conditions, detect changes early and predict outcomes can provide an even richer data set than aerial monitoring.
With properly designed networks, this procedure is more accurate than existing methods and can be applied to more complicated problems.
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The designed network is named CISRDCNN.
Therefore, both internal and external validations are required for network design; a properly designed network should consider its predictive performance.
Some of these applications require that the equilibrium points of the designed network be stable.
Some of these applications require the equilibrium points of the designed network to be stable.
Some of these applications require that the designed network has a unique stable equilibrium point [2].
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CEO of Professional Science Editing for Scientists @ prosciediting.com