1) accelerated stochastic approximation
加速随机逼近
2) random weighting approximation
随机加权逼近
1.
The asymptotic expansion for the distribution of a U - statistic is considered under assumptions that the samples are independently but not identically distributed, and its Edge-worth expansion is proved to hold with remainder o ( n -1/2 ) under comparatively general conditions while a random weighting approximation to the distribution of interest with accuracy of o (n -1/2) is constructed.
探讨了独立样本情形下U-统计量的分布的渐近展开,在较一般的条件下证明其Edgeworth展开的余项之误差可达到o（N-1/2）,并构造精度为o（n-1/2）的随机加权逼近。
3) Stochastic approximation
随机逼近
1.
A simple Algorithm of Model-Free Control with a Reformative Method of Simultaneous Perturbation Stochastic Approximation;
一种简易的无模型控制算法——改进的同时扰动随机逼近控制
2.
A stochastic approximation for parameters Markov decision processes;
参数Markov决策过程的随机逼近算法
3.
Enlightened by the technique used in extended least squares (ELS) algorithm for parameters identifying, based on stochastic approximation principle a new adaptive algorithm was concluded from EM algori.
本文借用增广最小二乘法（ELS）参数辩识算法中的运算技巧,应用随机逼近原理,在EM算法的基础上推导出一种具有自适应能力的离子通道信号参数估计技术,仿真证明其估计精度较高,稳健性强,而且易于实现。
4) mapping closure approximation
随机映射逼近
5) stochastic level value approximation
随机水平值逼近
补充资料：加速
①加快速度：火车正在～运行。②使速度加快：～其自身的灭亡。
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