mean-square error
- mean-square error的基本解释
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均方误差
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- 均方误差
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It was proved that the proposed control scheme guarantees that all the variables in the closed-loop system are bounded and the mean-square tracking error can be made arbitrarily small by choosing some design parameters appropriately.
理论证明,所提方法保证闭环系统的所有信号一致有界,且通过选择适当的设计参数,可使跟踪误差任意的小。
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Moreover, the mean-square tracking error can be made arbitrarily small by choosing some design parameters appropriately. Even with unmodeled dynamics and bounded disturbances presented the controller has good robust performance without need of correct dynamic model and parameter estimation.
并且这种控制器的设计不需要有精确的系统动态模型,不需要未知参数来满足线性依赖条件,不需要具体的系统参数估计,即使存在未建模动态和有界扰动,系统仍然具有很好的鲁棒性。
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We present a method of circular arc fragmented curve-fittingbased on least mean-square error rule in this paper.
文摘:提出了一种基于最小均方误差准则的圆弧分段曲线拟合方法。
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There exist many literatures concerning the research that the biased estimators with certain restricted conditions outperform the least squares estimator under the criterion of the mean-square error.
2在均方误差准则下,满足一定约束条件的有偏估计优于最小二乘估计的研究相当多,在Pitman准则下的类似研究存在比较大的困难。
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Also positive estimates of variance components are proposed, which have smaller mean-square error than ANOVA estimates, in two way classification models with random effects.
并把这一方法应用到两向分类随机效应模型,给出其中两个方差分量的正估计。
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- 更多网络解释与mean-square error相关的网络解释 [注:此内容来源于网络,仅供参考]
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mean-square error criterion:均方误差准则
maximum principle 极大值原理 | mean-square error criterion 均方误差准则 | mechanism model 机理模型
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mean-square error criterion:均方误差准则,均方误差准则
mean-square error criteria ==> 均方误差准则,均方误差准则 | mean-square error criterion ==> 均方误差准则,均方误差准则 | mean-square error norm ==> 均方误差范数,均方误差范数
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mean-square error criterion:均方误差判据
mean-level AGC || 平均电平自动增益控制 | mean-square-error criterion || 均方误差判据 | meantime auto-spectrometer || 同时式自动光谱仪
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mean-square error criterion:均方根误差准则
手段目的分析 means-end analysis | 均方根误差准则 mean-square error criterion | 故障间平均置换 mean-swap-between-failure
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mean-square error norm:均方误差范数,均方误差范数
mean-square error criterion ==> 均方误差准则,均方误差准则 | mean-square error norm ==> 均方误差范数,均方误差范数 | mean-square regression ==> 均方回归,均方回归
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