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.
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