1) complex non-linear-function approximation
复杂非线性函数逼近
1.
Two complex non-linear-function approximation examples show that the architecture and the method are effective and applicable for solving some real complex tasks,and increasing the generalize-ability of neural network.
给出的2个复杂非线性函数逼近实例结果表明,使用该体系及神经网络集成方法求解问题,不但效率高,而且显著提高神经网络系统的泛化能力,验证该方法的可行性。
2) nonlinear function approximation
非线性函数逼近
1.
The combined training algorithm is applied to the nonlinear function approximation and stock price forecast with complex nonlinear dynamic characteristic,and t.
将此组合训练算法应用到非线性函数逼近和具有复杂非线性动力学特征的股价预测中,仿真实验表明,该算法避免了网络陷入局部极小点,提高了网络的泛化能力,同时为BP网络参数的确定提供了一条崭新的思路。
2.
The wavelet network combines the mathematical feature of wavelet transform with learning scheme of conventional neural network into an organic unit,which has been applied to nonlinear function approximation and dynamical system modeling.
小波网络将小波变换的数学优势和神经网络的学习机制相结合,完成非线性函数逼近和动态系统建模。
3) characlerisation
非线性广义权函数逼近
4) Linear Approximation Function
线性逼近函数
5) nonlinear approximation
非线性逼近
1.
Legendre nonlinear approximations to the derivative of delta function;
δ函数的导函数的Legendre非线性逼近
2.
Convergence of the Legendre nonlinear approximations to the Dirac function;
δ函数Legendre非线性逼近的收敛性
3.
The nonlinear approximation is applied widely to many fields.
非线性逼近在许多方面有着广泛的应用。
6) nonlinear approach
非线性逼近
1.
Firstly,BP neural network algorithm and its nonlinear approach ability are introduced.
介绍了BP神经网络算法及其非线性逼近能力,并基于BP神经网络的非线性逼近性能设计了BP神经网络进行GPS导航的新算法。
补充资料：复杂
（事物的种类、头绪等）多而杂：颜色～ㄧ～的问题ㄧ～的人际关系。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条