非正交的 meaning in Chinese
anorthic
nonorthogonal
Examples
- Their learning and training rules have been analyzed profoundly and their abilities to approximate arbitrary nonlinear function have been testified and compared by the simulation . a new rbf neural network has been presented which uses a raised - cosine function as activation transfer function . it provides a wider generalization in comparison with gaussian rbf neural networks by simulation as well as strong approximation ability , fast convergence , a rule to select the parameters of the networks
本文详细研究了两种典型的前向神经网络( bp网络和rbf网络)的学习和训练算法，提出了一种新颖的基于紧支集余弦函数的径向基神经网络，其克服了常用的高斯型rbf神经网络虽具有紧支集但各基函数非正交的不足，其收敛速度快、网络参数选取有理论依据且相比于高斯型rbf神经网络具有更强的泛化能力，仿真验证了其有效性。