摘要
根据动态神经网络具有通过学习能以任意精度逼近非线性函数的特性,建立了用于船舶运动极短期预报的对角回归网络(DRNN)模型及算法,并将该算法所取得的结果与自回归预报法和周期图预报法的结果相比较,说明了该算法的可行性。
The modeling method of the ship extreme short-term motion prediction by applying neural network theory is discussed. The diagonal recurrent neural network model and algorithm of ship motion prediction is given. With the algorithm, real ship motion prediction is simulated, and the simulation method and procedure are introduced in detail. The simulation results were compared with the real ship data and those from auto-regress method and periodic chart method, which proved the algorithm to be feasible。
出处
《系统仿真学报》
CAS
CSCD
2002年第5期641-642,649,共3页
Journal of System Simulation
