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      同时扰动
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  simultaneous perturbation
     The controllers′ parameters cannot be adjusted directly by output error signals because of a secondary path. An improved simultaneous perturbation adaptive algorithm,which proves to be a stochastic gradient approximation method in terms of mathematical expectation,was presented.
     由于系统的次通道使得控制器参数无法直接利用振动误差信号来调整,提出一种改进的同时扰动自适应算法,并证明该算法在数学期望上是一种随机梯度法。
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     Controller parameters cannot be updated directly with the output error signal due to the existence of secondary path,so a modified simultaneous perturbation algorithm,which is proved a stochastic gradient approximation method in the name of mathematic expectation,is presented to update controller weights without modeling secondary path.
     由于系统次通道使得网络权值无法直接利用振动误差信号调整,提出一种改进的同时扰动自适应算法,并证明该算法在数学期望上是一种随机梯度法。
短句来源
     Based on the principle of model free adaptive control(MFAC),simultaneous perturbation algorithm(SPA)is used to process the measured error signal of active noise control system directly,so it is unnecessary to model the secondary acoustic path.
     根据无模型自适应控制的基本原理,采用同时扰动算法对有源噪声控制系统中的测量误差信号进行直接处理,不再需要建立次级声学路径模型。
短句来源
     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
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     The algorithm with simultaneous perturbation stochastic approximation method is the model-free control algorithm with stochastic approximation method and without modeling. It is superior to those industrial processes with non-linearity and great variations.
     同时扰动随机逼近控制算法是一种特别适合于应用在工况变化大、非线性强的工业过程的无模型控制算法。
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  “同时扰动”译为未确定词的双语例句
     Bagging SVM and Boosting SVM cannot improve the classification result. In this dissertation, RBaggSVM and RBoostSVM algorithms manipulating both training sets and SVM model parameters are proposed. It is characteristic of randomization of SVM model parameters within specific scope for achievement of diversity component classifiers.
     1.比起神经网络、决策树等学习算法,支持向量机是相对稳定的分类器,利用常用的集成算法Bagging和Boosting对SVM进行集成并不能有效地提高分类效果,本文提出了同时扰动训练集和SVM分类模型参数的RBaggSVM和RBoostSVM算法,算法的特点是在一定的范围内随机选取SVM的模型参数,以获得有差异的成员分类器。
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     It is more effective to combine the M2SPSA algorithm and the MMA.
     本文将改进的自适应同时扰动随机逼近算法与多模型方法相结合。
短句来源
     M2SPSA Algorithm is used in the minimizing of this target.
     对此性能指标的极小化过程中使用了改进的自适应同时扰动随机逼近算法。
短句来源
     The intervention of Multiple Model Approach improve the whole system's rapidness, robustness and stability. The parameters of the multiple fixed model controller can re-initialize the adaptive controller which is based on the M2SPSA algorithm.
     多模型方法的介入提高了整个系统的快速性、鲁棒性和稳定性,可以利用多固定模型控制器的参数对基于改进的自适应同时扰动随机逼近算法控制器进行重新赋初值。
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     It is further found that the final maximum amplitude of an unstable ultra-long wave depends only on the structure of the initial state of the basic field, but not on the initial state of the disturbance.
     所得扰动发展的时间和极大振幅与实况较为符合,同时扰动极大振幅对于初值振幅具有准保守性。
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  相似匹配句对
     H.
     同时,H.
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     When the same composition is used, at temperature levels of -120癈, -80 癈 and -60 ?
     同时,在-120”C。
短句来源
     The numerical example has been given.
     同时研究了扰动问题,给出了数值计算实例。
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     TID can cause the small scale disturbances superposed in negative phase;
     同时叠加有TID所引起的几小时尺度扰动;
短句来源
     PERTURBATION ANALYSIS OF DISCRETE EVENT DYNAMIC SYSTEMS
     离散事件动态系统的扰动分析
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  simultaneous perturbation
Simultaneous perturbation stochastic approximation algorithm combined with neural network and fuzzy simulation
例句来源      
fuzzy expected value model, fuzzy chance-constrained programming model, and fuzzy dependent-chance programming model, a simultaneous perturbation stochastic approximation algorithm is proposed by integrating neural network with fuzzy simulation.
例句来源      
Finally, the trained neural network is embedded in simultaneous perturbation stochastic approximation algorithm.
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Simultaneous perturbation stochastic approximation algorithm is used to search the optimal solution.
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Optimization of discrete event systems via simultaneous perturbation stochastic approximation
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         This paper deals with the problem of the instability and development of the ultra-long waves in frictionless and adiabatic motion. It is found that the controlling factors on the instability are the vertical distribution of the static stability and the vertical shear of the basic current. The occurrence of the instability requires that the upper layer of the atmosphere possesses higher static stability than the lower layer. The existence of the stratosphere provides this requirement. Further the degree of i...
            本文在绝热无摩擦的条件下,讨论了超长波的不稳定与发展。超长波不稳定的控制因子有静力稳定度的垂直差异及风的垂直切变。不稳定的出现要求高空静力稳定度要比低空大,平流层满足了这个要求。风的垂直切变愈大则愈不稳定。 使扰动场对基本场反馈,求出了基本场的垂直切变与静力稳定度的变化方程。发现,扰动对垂直切变的反馈作用很大,而对静力稳定度则很小。根据d/dt(P’+K’)=0(其中P’与K’分别是一个波长中的扰动位能和扰动动能)的条件,求出了扰动发展到极值的时间和振幅。所得扰动发展的时间和极大振幅与实况较为符合,同时扰动极大振幅对于初值振幅具有准保守性。 影响超长波发展的因子除了风的垂直切变与静力稳定度垂直分布的作用外,还有波长。波长的改变对最后所要达到的极大振幅没有影响,而只是波长愈长扰动发展天数愈长。平流层的作用使扰动的振幅低空变小,高空增大。
文摘来源
         The local influence approach in linear regression models with two kinds of specific dispersion matrices is developed and discussed.An advantage of this approach is that it avoids the inappropriate case-deletion diagnostic in linear models witch discussed and it allows simultaneous perturbation on all responses. In addition,two simulation examples are given and discussed.
            讨论和推广了具有两类特殊散布阵的线性回归模型的局部影响方法.该方法的优良性在于在所讨论的线性模型中避免了不恰当的点删除诊断,并且容许所有响应的同时扰动.此外,还给出了2个模拟实例.
文摘来源
         In this paper, we discuss the stability of super efficient points. In the sense of semicontinuity, the stability for super efficient points of a perturbation set with a perturbation cone is obtained in Banach space.
            在Banach空间中讨论了超有效点的稳定性.在半连续的意义下,给出了当约束集和控制锥同时扰动时,超有效点的稳定性.
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