• In this paper, we present a polarization-encoded optical full adder by using an inverse vector realized by transmissive feedback.

    提出利用反转矢量透射反馈算法研制偏振编码光电混合全加器

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  • Online identification algorithm of support vector regression is used to build the inverse model for the plant.

    采用支持向量回归在线辨识算法作为建模方法建立被控对象模型

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  • An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.

    本文主要针对基于最小二乘支持向量适应控制方法进行了研究。

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  • Based on the thought of inverse system control, a composite strategy was proposed, which combines direct inverse control based on support vector machine (SVM) with PID control.

    基于系统控制思想提出一种支持向量(SVM)直接逆控制PID控制结合的复合控制策略

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  • A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares-support vector machine (LS-SVM).

    提出一种最小二乘支持向量(LS - SVM)构造函数链接神经网络(FLANN)系统传感器动态补偿方法

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  • With the aid of vector method, constraint equation, kinetic energy consideration, the inverse position model, Jacobian matrix and mass matrix have been developed.

    本文取得如下成果:借助矢量约束方程动能定理分别构造出机械手的位置模型、速度雅克矩阵质量惯性矩阵。

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  • The calculation of an inverse matrix is a lot of work, but by using the properties of vector cross products we can simplify the calculations.

    计算矩阵工作量较大,但是通过逆矩阵我们可以简化计算

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  • A direct inverse control scheme of FCMAC neural network is presented for vector control AC servo system. The principle analysis and the design realizing process of the system are given in detail.

    本文针对矢量控制交流伺服系统提出了一种模糊小脑模型神经网络直接控制方案给出了详细原理分析实现过程

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  • An adaptive inverse control method based on Least Squares support vector machine (LS-SVM) is studied in this paper.

    本文主要针对基于最小二乘支持向量适应控制方法进行了研究。

    youdao

  • The initial inverse model of process is built based on least squares support vector machine, and the Numbers of support vector is reduced through pruning algorithm.

    初始过程模型建立了基于最小二乘支持向量通过剪枝算法将支持向量的数量减少

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  • At last, the validity of new type of generalized inverse control is proved via simulations of decoupling performance, disturbance-rejection performance and robustness based on vector control.

    最后感应电机矢量控制基础,对其进行系统控制解耦性能、抗扰动性能鲁棒性方面仿真实验证实新型广义逆系统控制的有效性

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  • The inverse problem of Support Vector Machine (SVM) is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.

    支持向量SVM问题研究如何把无标签数据集合分成类才能得到最大间隔

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  • The inverse problem of Support Vector Machine (SVM) is how to split the dataset into two clusters so that the margin between the two clusters reaches maximum.

    支持向量SVM问题研究如何把无标签数据集合分成类才能得到最大间隔

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