摘要
分析了潜艇在风浪中运动的复杂性、不确定性和运动模型的严重非线性等特点,难以建立准确的数学模型,因此提出了利用神经网络的非线性映射能力,进行潜艇运动模型辨识建模的新方法,通过仿真实验验证了利用BP网络建立潜艇在风浪中运动模型的可行性。
The paper analyzed the complexity, uncertainty and nonlinearity of the submarine movement in waves and the difficulties of its modeling. A novel method was proposed that uses artificial neural network to identify the mathematical model of submarine movement. Then the possibility of modeling on swaying movement of submarine in random ocean waves using BP network is verified by simulation experiment.
出处
《计算机仿真》
CSCD
2004年第2期41-43,共3页
Computer Simulation
基金
海军院校骨干教员培训资助计划"资助(2001)
