• Physical object of bus protection is a function with certain relation between inputs and outputs, which can be replaced by an ANN model, i. e. can be approximated by an ANN mathematical model.

    母线保护物理对象输入输出关系确定函数对象,可用ANN模型替代,或一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。

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  • Results:Analysis showed that the predicted coma duration estimation by the prognostication model approximated the real coma duration of the patient.

    结果分析结果显示预测模型预测昏迷时间患者实际昏迷的时间非常接近

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  • Since it was proved that the homography between two windows of corresponding feature can be geometrically approximated by an affine transformation model.

    算法首先分析并提出幅图像中相应特征邻域窗口之间的单应映射可以仿变换模型近似

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  • The protected object of bus protection is a function with certain input and output, which can be represented by ANN model, or approximated by ANN mathematical model.

    母线保护物理对象输入输出关系确定函数对象,可用一个ANN模型去替代,一个ANN数学模型去逼近母线保护物理对象的输入输出之间的函数关系。

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  • An intelligent sampling technique coupled with the steepest descent method is implemented for on-line estimation of the process, which can be approximated by a second-order model with time delay.

    对于可以延时二模型来拟合过程,使用一种智能采样技术结合阶跃下降实现了实时过程的在线模拟。

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  • The nonlinear plant is approximated by a Takagi-Sugeno fuzzy linear model using local linearization method.

    采用局部线性化方法,T-S模糊线性模型逼近非线性系统。

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  • The ac coefficients of an image's Discrete Cosine Transform (DCT) are best approximated by Laplacian distribution model. Based on this model, the blind information hiding algorithm was proposed.

    基于图像离散余弦变换(DCT)交流系数拉普拉斯分布模型,提出了一种提取数字图像信息隐藏算法。

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  • Motor system is non linear, however it can be linear approximated in an operating point. First order and second order motor model is used in the discussion.

    实际情况中电机非线性系统但是在某一工作区间内完全可以进行线性化,本文采用阶电机模型进行讨论

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  • To solve the uncertain control problem of system, the uncertain parameters were described by the interval model, and the uncertain control problem was approximated by a deterministic.

    为了解决控制系统确定性问题确定参数区间表示,使不确定问题转化确定性问题。

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  • To solve the uncertain control problem of system, the uncertain parameters were described by the interval model, and the uncertain control problem was approximated by a deterministic.

    为了解决控制系统确定性问题确定参数区间表示,使不确定问题转化确定性问题。

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