• The upper and lower envelopes are constructed by using LSSVM regression instead of spline interpolation in EMD.

    同时以LSSVM回归方式形成包络线,以取代传统EMD中的三次样条插值;

    youdao

  • A fault diagnosis method for satellite attitude control systems is presented based on least squares support vector machine (LSSVM).

    提出了一种基于最小二乘支持向量机(LSSVM)非线性观测器的卫星姿态控制系统故障诊断方法。

    youdao

  • A slope stability evaluation method based on particle swarm optimization (PSO) and least square support vector machine (LSSVM) is proposed.

    提出了基于粒子群算法(PSO)和最小二乘支持向量机(LSSVM)的边坡稳定性评价方法。

    youdao

  • The features of two methods, i. e. least square support vector machine (LSSVM) and generalized regression neural network (GRNN) are compared and analyzed.

    比较分析了最小二乘支持向量机(LSSVM)和广义回归神经网络(GRNN)这两种方法的特点。

    youdao

  • Structure identification depends on the potential of data in time window. parameter identification is based on LSSVM with fast speed and high precision of identification.

    以时间窗内数据的势能作为结构辨识依据,同时采用最小二乘支持向量机辨识系统参数,辨识速度快、精度高。

    youdao

  • On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.

    在具体分析了多种建模方法的基础上,提出了核主元分析结合最小二乘支持向量机软测量建模方法。

    youdao

  • On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.

    在具体分析了多种建模方法的基础上,提出了核主元分析结合最小二乘支持向量机软测量建模方法。

    youdao

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