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Because the ship steering control is uncertain, nonlinear and time-varying. A predictive control algorithm based on RBF neural network is adopted to the ship steering control. Recursive k-means clustering algorithm and recursive least squares algorithm are used to adjust the RBF neural network. And clonal selection algorithm is used in predictive control algorithm to ensure the global optimal solution...
Considering the ability of rough sets theory on reduction of decision system and that of neural networks for clustering and nonlinear mapping, a new hybrid intelligent model of rough sets and neural networks for fault diagnosis is proposed. Meanwhile, a novel attribute reduction approach of rough set based on immune clonal selection is proposed, in order to find the minimal feature set of decision...
Considering the ability of rough sets theory on reduction of decision system and that of neural networks for clustering and nonlinear mapping, a new hybrid intelligent model of rough sets and neural networks for fault diagnosis is proposed. Meanwhile, a novel attribute reduction approach of rough set based on immune clonal selection is proposed, in order to find the minimal feature set of decision...
On the point view of complementary strategies, a new hybrid algorithm to optimize the RBF network based on artificial immunology was proposed. A dynamic clustering algorithm based on clonal selection algorithm was used to specify the amount and initial position of the RBF centers; then RBF network was trained by the immune evolutionary algorithm. Combining with the rough sets-based attribute reduction...
Ship course control is closely related with navigation security, maneuverability and economy. In the paper, based on backstepping algorithm, a hybrid intelligent controller is proposed to ship steering control. The controller is a nonlinear controller in nature, whose design is simpler and more intuitive than its linear counterparts. For the adaptive laws of the controller are derived in the sense...
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