Modeling of ship vertical motion with self-organizing radial basis function artificial neural network
Modeling of ship vertical motion with self-organizing radial basis function artificial neural network
- New search for: Xuejing Yang,
- New search for: Xiren Zhao,
- New search for: Xuejing Yang,
- New search for: Xiren Zhao,
Ships' vertical motion caused by random disturbances of ocean wave is unsafe for navigation and carrier planes' takeoff and landing. To reduce the vertical motion and give an effective control for ship's motion pose, an intelligent model of ship's vertical motion is needed. With the experimental data, based on the self-organizing radial basis function neural network, an intelligent model of vertical motion which can self-adapt with navigating speed, navigating course and ocean condition is presented. The automatic configuration and learning of the network are carried out by using a self-organizing learning algorithm. The results of simulation indicate that the performance of self-organizing radial basis function neural network is better than that of the radial basis function neural network without self-organizing learning.
Document information
Modeling of ship vertical motion with self-organizing radial basis function artificial neural network
2006-01-01
3359605 byte
Conference paper
Electronic Resource
English
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