The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.
支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
In the calculation example, the real data were used for the dynamic modeling of the load, and the results show that the load model is accurate and has high generalization ability.
算例中利用实测数据进行负荷动态建模，结果表明可得到精度和泛化能力都较高的负荷模型，在电力负荷建模方面具有广泛的应用价值。
The network possess advanced reasonable construction designs, high accuracy and strong generalization ability.
该网络结构设计先进合理，精度高，泛化能力强。
Simulation results show that LS-SVM reduces calculating complexity with high calculating speed. And it also has good generalization ability with small sample.
仿真结果表明，最小二乘支持向量机降低了计算复杂度，且有较快计算速度，在小样本情况下具有良好的泛化能力；
Support Vector machine (SVM) is a new method of machine learning. It has some advantages such as generalization ability, nonlinear and high dimensions.
支持向量机是一种新的机器学习方法，它具有推广能力强、非线性和高维数等一系列优点。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
Financial time series has high randomicity and nonlinearity. Neural network is quite suitable in the process of financial time series data for its good ability of nonlinear mapping and generalization.
金融时间序列具有很强的随机性和非线性性，而神经网络具有良好的非线性映射能力及自适应、自学习和良好的泛化能力，因此非常适合处理金融时间序列这样的数据。
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