随机逼近 meaning in Chinese

stochastic approximation

After introducing the unified model structure and applying stochastic approximation principle , the general recursive identification algorithm of several on - line identification methods is developped
在引进统一的模型结构以后，利用随机逼近原理，提出了各种在线识别算法的一般递推形式。
The recursive modification algorithm is mainly based on the ideal of stochastic approximation and truncation technique to obtain modification strategy for estimated parameters , it is proved that these modification parameters turn out to be a constant vector
其中迭代的参数修正策略主要是基于随机逼近思想和截尾技术给出了修正向量的构造算法。
On the base of comparation of several methods , the viewpoints of the author are presented in the paper . in the fifth chapter , a general stochastic optimization method ? tochastic approaching methods , is studied . comparing to the above - mentioned stochastic methods , this method is more convenient to be applied in practice and the better optimization result is expected
最后，本文首次将随机逼近法引入渗透系数随机反演的研究领域，建立了随机逼近反演渗透系数的计算公式和计算步骤，并将该法与gauss - markov法、 bayes法和广义bayes法进行了对比，提出了自己的观点。