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机的自适应逆控制方法进行了研究。
A method of forecasting Fujian GDP was recommended based on least squares support vector machine (LS-SVM).
提出一种基于最小二乘支持向量机的福建省GDP预测方法。
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机的自适应逆控制方法进行了研究。
A new prediction approach for railway passenger volume is put forward by means of Least Squares Support Vector Machine (LS-SVM).
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
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。
In this article, it is studied for the application of least squares support vector machine LS-SVM in the transformer fault diagnosis and prediction.
论文围绕最小二乘支持向量机ls - SVM在变压器故障诊断、故障预测中的应用进行了研究。
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.
初始过程的逆模型，建立了基于最小二乘支持向量机，并通过剪枝算法将支持向量的数量减少。
A short-term prediction system based on data mining preparation and least squares support vector machine was presented for a multi-port remote monitoring and management system.
实现了基于数据挖掘理论和最小二乘支持向量机短时预测的多接口远程智能供水监管系统。
In view of complex nonlinear relationship between dam seepage parameters and piezometric tube level, the least squares support vector machine is applied to the back analysis of seepage parameters.
针对土石坝渗透参数和测压管水位间复杂的非线性关系，应用最小二乘支持向量机于土石坝渗透系数的反演。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
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).
提出一种用最小二乘支持向量机(LS - SVM)构造函数链接型神经网络(FLANN)逆系统的传感器动态补偿新方法。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
Orthogonal design and least squares wavelet support vector machine are integrated to optimize the technological parameters of hydro-mechanical deep drawing process using FEM.
在有限元模拟基础上，采用正交设计与最小二乘小波支持向量机对充液拉深过程参数优化进行了研究。
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