An incremental learning algorithm using multiple support vector machines ( SVMs) is proposed.

Then we introduce Support Vector Machines ( SVMs) and related machine learning theory.

然后，介绍了支持向量机分类及相关的机器学习理论。

A performance comparison of SVMs based on Fourier kernel and RBF kernel

基于傅立叶核与径向基核的支持向量机性能之比较

Including the following parts: 1. Research on the fuzzy SVMs based on possibility theory.

研究基于可能性理论的模糊支持向量分类机。

The three SVMs with different kernel functions are used to process the water monitoring datas.

采用三种不同核函数的支持向量机对水质监测的数据进行处理。

By comparison with ANN, the characteristics of SVMs are analyzed.

与人工神经网络相比，分析了支持向量机算法的优点。

Samples Selection for RS Object Detection Based on SVMs

基于SVM的遥感影像目标检测中的样本选取

Research of SVMs Multi-Category Classification in Decision Tree

树形结构SVMs多类分类的研究

The success of SVMs depends heavily on the model selection.

模型选择问题决定了支持向量机实际应用的成功与否。

Training and classification of SVMs based on large-scale data

基于大规模数据的支撑矢量机的训练和分类

Computer Handwriting Identification System Based on Feature and SVMs

基于纹理和支持向量机的笔迹鉴定系统

Experimental results indicate that two methods realize fast training of fuzzy SVMs.

实验表明，两种算法都能实现模糊支持向量机的快速训练。

Prediction of the geomagnetic variation field based on chaos theory and LS-SVM

基于混沌理论和LS-SVM的地球变化磁场时间序列预测

Off-line handwritten Chinese character recognition based on fusion features and LS-SVM

基于融合特征和LS-SVM的脱机手写体汉字识别

Modeling of power Plant Superheated Steam Temperature Based on LS-SVM

基于LS-SVM的电厂过热汽温仿真研究

The Application Study of Nonlinear Forecast on Surrounding Rock Displacements Based on LS-SVM

基于LS-SVM的围岩位移非线性预测应用研究

Aviation lubricating oil metal content analysis based on LS-SVM

基于LS-SVM的航空润滑油金属含量分析

Prediction of Failure Rate of Plane Components Base on LS-SVM

基于LS-SVM的飞机部件故障率预测

A kind of nonlinear predictive control scheme based on the LS-SVM model is presented.

将得到的LS-SVM模型应用到非线性预测控制，提出了基于LS-SVM模型的非线性预测控制算法。

LS-SVM Rectangle Window Algorithm and Its Application in Modelling of Nonlinear System

LS-SVM的矩形窗算法及其在非线性系统建模中的应用

Multiple models nonlinear active predictive fault-tolerant control based on LS-SVM

基于LS-SVM的多模型非线性主动预测容错控制