二阶Newton法训练径向基函数神经网络的算法研究

DOI: 10.7544/issn1000-1239.2015.20140373

Keywords: [径向基函数神经网络, Hessian矩阵, Newton法, 正交最小二乘法, 网络参数优化, 最优学习因子, radial basis function (RBF) neural network, Hessian matrix, Newton’s method, orthogonal least squares (OLS), weighted distance measure (weighted DM), multiply optimal learning factors (MOLFs)]

Full-Text   Cite this paper   Add to My Lib

Abstract:

提出了一种混合加权距离测量(weighted distanc..

Full-Text