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Centrifugal compressor performance prediction method mainly uses the traditional BP neural network problem is not high enough accuracy, convergence, easily falling into local optimal solution. In order to more accurately predict the performance of centrifugal compressors, find problems early implicit commit. Is the algorithm, wavelet theory, artificial neural networks, established immune algorithm...
In order to acquire continuous network connectivity for client without considering the physical location of the user, a new structure designing distribution algorithm on the mobile computing network was established. The design distribution algorithm could account for the host mobility and physical constraints. Firstly, the development of mobile network was introduced. Then the system model was established...
In order to predict the magnitude of the serious earthquake in future time in a seismic area, the probabilistic neutral network was established depending on mathematically computed parameters known as seismicity indicators. The indicators concerned are the time elapsed during a especial number (n) of critical seismic events before the day in question, the inclination of the Gutenberg_Richter inverse...
In order to present the routing algorithms for currently communication networks, the constrained optimization problem was solved depending on the ability of the neural networks. The neural networks was used in optimum routing problem on in case of packet switched computer networks, and the main objects are decrease the mean delays in the communication networks. The correctness of neural network is...
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