该文详细介绍了采用线性化法和多项式逼近法求解非线性波浪力谱密度的过程。
The calculation of the spectral density of non-linear wave forces is presented in detail, based on linearized approach and polynomial-approximated approach, respectively.
数值模拟结果与数值解比较表明：正交多项式逼近法能有效地解决此类非线性随机动力系统的响应问题。
Numerical simulation implies that the proposed method is a new effective approach to dynamical responses of stochastic nonlinear systems.
着重介绍了数值逼近方法中的多项式曲面函数模型逼近法，并通过实测数据对多项式函数模型的精度进行分析。
The paper emphasizes on the methods of polynomial surface approximation which is part of numerical approximations, and analyzes the precision of polynomial function model through the measured data.
通过与线性插值、多项式拟合法和神经网络逼近法的比较，可以明显看出用该神经网络算法的优越性。
Compared with linear inserting value and multinomial imitation method, it is obvious that NN has more advantages.
通过与线性插值、多项式拟合法和神经网络逼近法的比较，可以明显看出用该神经网络算法的优越性。
Compared with linear inserting value and multinomial imitation method, it is obvious that NN has more advantages.
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