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In this paper, the author uses the genetic algorithms (GA) to optimize the traditional BP neural network model, and establish the GABP neural network model. The Zhongshan Road underground passage of Wuchang Railway station is taken as the object of study to establish the tunnel drainage system based on the GABP neural network and does the simulation experiment. Compare to the traditional BP neural...
Aiming at manually carry through optimization of experiment way adopted for traditional PID controller parameter, an optimization method based on improved ant colony algorithm for PID parameters of BP neural network is presented. The improved ant colony algorithm and BP neural is organically combined by this method. Which not only overcomes effectively the shortcoming of BP algorithm on some degree...
A nonaffine discrete-time system represented by the nonlinear autoregressive moving average with eXogenous input (NARMAX) representation with unknown nonlinear system dynamics is considered. An equivalent affinelike representation in terms of the tracking error dynamics is first obtained from the original nonaffine nonlinear discrete-time system so that reinforcement-learning-based near-optimal neural...
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