1) Orthogonal Least-Squares Algorithm (OLS Algorithm)
正交最小平方算法
2) LS
最小平方算法
3) SROSL
自适应正交最小方差算法
1.
This method, by using of SROSL, eliminates the effect caused by relativity between samples, thus makes on-line training algorithm of RBF neural network be of greater operability.
采用自适应正交最小方差算法,从根本上消除样本间相关性的影响,使RBF神经网络的在线训练算法更具操作性。
4) orthogonal least square algorithm
正交最小二乘算法
5) ROLSA
递归正交最小二乘算法
1.
The recursive orthogonal least square algorithm (ROLSA) is used to optimally select the hidden centers vectors of the radial basis probabilistic neural networks (RBPNN).
使用递归正交最小二乘算法(ROLSA)优选径向基概率神经网络(RBPNN)的隐中心矢量,微遗传算法(μGA)用于求解RBPNN最优核函数控制参数,并同ROLSA相结合(ROLS-μGA)来优化RBPNN的全结构(优选最优控制参数及隐中心矢量)。
6) recursive orthogonal least square algorithm
递推正交最小二乘算法
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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