还对支持向量机在多元分类中的应用进行了讨论，并给出了实例。
We also discussed the application of support vector machine in multivariate classification with some examples.
阐述了基于支持向量机的滑坡灾害信息遥感图像提取的基本原理和方法，并结合实例说明了这种方法的有效性。
The principles and methods of using support vector machine technique to extract the information of landslide hazard are discussed. Its effectiveness is illustrated with an example.
将其应用于电力市场出清价及价格钉的预测实例研究，与传统的支持向量机预测结果比较，三角旋回支持向量机具有更高的预测精度。
Comparing to the results from traditional support vector machine for forecasting market clearing price and price spike in power market, the TGA-SVM manifests the more accurate forecasting results.
针对经验公式方法的不足，提出基于工程实例的隧洞最大允许变形的支持向量机(SVM)自动获取方法。
Aiming at the disadvantages of experience formula, the case-based SVM method for maximal deformation forecasting of surrounding rocks of tunnels is proposed.
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
分类部分，论文在理论上分析了文本分类采用支持向量机技术的优点，对两种具体的SVM算法-C-SVC和V-SVC进行了研究并利用实例进行验证。
The two classical SVM algorithms-C-SVC algorithm and S-SVC algorithm have been done more research and the two algorithms performance has been compared by using practice data.
分类部分，论文在理论上分析了文本分类采用支持向量机技术的优点，对两种具体的SVM算法-C-SVC和V-SVC进行了研究并利用实例进行验证。
The two classical SVM algorithms-C-SVC algorithm and S-SVC algorithm have been done more research and the two algorithms performance has been compared by using practice data.
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