A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
Experiment results show that the least squares support vector machines method has high recognition rate and is practical.
实验结果表明此方法的识别率较高，在小字符集识别中具有较强的实用性。
This paper presents an application of least squares support vector machines in small-set pressed protuberant character recognition.
将最小二乘支持向量机引入到小字符集压印字符识别中。
A phase space reconstructed forecasting method of stock price was proposed based on least squares support vector machines (LS-SVM).
提出一种基于相空间重构的最小二乘支持向量机(LS - SVM)的股票价格预测方法。
After studying on modeling theories of SVM and the parameter optimization of SVM, the Least Squares Support Vector Machines tool LSSVM.
在研究支持向量机的建模理论和参数优化方法的基础上，将最小二乘法支持向量机工具LSSVM。
To conclude a sparse solution, we present an improved algorithm for Least Squares Support Vector Machines, and prove its effect by an experiment.
对原有的最小二乘支持向量机在稀疏性上进行了改进，并通过实验，对改进后的最小二乘支持向量机的分类效果进行了验证。
Compared with the classical Support Vector Machines, the Least Squares Support Vector Machines lose the sparseness, which would influence the efficiency of re-learning.
最小二乘支持向量机相比传统的支持向量机，丧失了解的稀疏性，影响了二次学习的效率。
A new least squares support vector machines based on boundary nearest was proposed, which reduced the number of support vector by using boundary nearest methods pruning the training Sam.
文中提出了一种基于边界近邻的最小二乘支持向量机，采用寻找边界近邻的方法对训练样本进行修剪，以减少了支持向量的数目。
An E-government website assessment model based on least squares support vector machines (LS - SVM) is established using the website assessment index system which is established for E-government.
在确立了电子政务网站评估指标体系的基础上，建立了基于最小二乘支持向量机(LS-SVM)的电子政务网站评估模型。
Based on least squares wavelet support vector machines (LS-WSVM) within the Bayesian evidence framework, a systematic method for fault diagnosis of analog circuits was proposed.
基于贝叶斯证据框架下的最小二乘小波支持向量机，设计了一种新型模拟电路故障诊断方法。
On the basis of studying on least-squares support vector machines (LS-SVM) of the image edge detection technology, Proposed a new method, which is based on mixed Kernel LS-SVM image edge detection.
本文在研究了众多边缘检测方法的基础上，重点研究了最小二乘支持向量机（LS-SVM）的图像边缘检测技术，提出了一种基于混合核函数最小二乘支持向量机的图像边缘检测方法。
On the basis of studying on least-squares support vector machines (LS-SVM) of the image edge detection technology, Proposed a new method, which is based on mixed Kernel LS-SVM image edge detection.
本文在研究了众多边缘检测方法的基础上，重点研究了最小二乘支持向量机（LS-SVM）的图像边缘检测技术，提出了一种基于混合核函数最小二乘支持向量机的图像边缘检测方法。
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