stochastic approximation
- stochastic approximation的基本解释
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随机逼近
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According to the study of the stochastic approximation theory, a new optimization method of yield is given.
在对随机逼近理论进行研究的基础上,提出了一种新的合格率优化算法。
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Then it is demonstrated that the other methods are all the approximation of the stochastic method.
论证了其它方法都是随机过程方法的近似。
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In general, stochastic approximation is guaranteed to converge.
在一般的情况下,随机近似方法的收敛效果是受到肯定的。
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Using the stochastic approximation theory, a rigorous analysis of the convergence properties of the algorithm was presented.
然后,采用随机逼近理论,严格分析了算法的收敛性。
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Stochastic approximation which is used for parameter estimation is an iterative algorithm for random environments.
中文摘要随机近似方法是一个递回式的演算方法,在随机的环境下作参数估计。
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- 更多网络解释与stochastic approximation相关的网络解释 [注:此内容来源于网络,仅供参考]
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stochastic approximation:随机逼近
stochastic 随机的 | stochastic approximation 随机逼近 | stochastic automaton 随机自动机
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stochastic approximation:随机近似法
stochastic analysis 随机分析 | stochastic approximation 随机近似法 | stochastic approximation learning system 随机逼近学习系统
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stochastic approximation method:随机逼近
逼近方法:Approximation method | 随机逼近:stochastic approximation method | 逐次逼近法:Successive approximation method
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stochastic approximation method:随机近似法
STM 发送测试信息 | stochastic approximation method 随机近似法 | stochastic convergence 随机收敛
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accelerated stochastic approximation:加速随机逼近
加速寿命试验 accelerated life test | 加速随机逼近 accelerated stochastic approximation | 加速试验 accelerated test
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