SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
Support Vector Machine is an excellent learning technique, and it is also a class of regression method with a good generalization ability.
支持向量机是一种优秀的学习方法，也是具有很好泛化性能的回归方法。
The experimental results show that the whole target identification system has a relatively simple structure and good generalization ability.
实验结果表明，整个目标识别系统的结构简单，同时具有较好的推广能力。
SVM has been wildly used for object detection and recognition for the past decades, because of its good generalization ability and performance.
近十年来，支持向量机因其通用性和良好的性能，被广泛地用于对象检测与识别。
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 is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
Through the analysis of the output of training and testing samples, we could draw a conclusion that this system is characterized by higher precision and good generalization ability.
通过系统对训练样本和测试样本的输出，可以看出：系统具有较高的精度和泛化能力。
SVM has been applied to many fields such as pattern recognition, data mining, modeling and control of nonlinear system due to good generalization ability and globally optimal performance.
SVM由于其良好的泛化能力和全局最优性能，在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。
Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.
数值实验表明，改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力，具有一定的参考价值。
The simulation result is that the Fuzzy forward neural networks which is trained by this algorithm have good non-logic generalization and feature extraction ability, as well as fast learning speed.
模拟结果表明利用该算法训练的模糊层次神经网络具有较好的非逻辑归纳能力和特征抽取能力，并且学习速度也大大加快。
SVM has good characteristics of simple structure, global optimum and strong generalization ability.
支持向量机分类器结构简单、可获得全局最优、泛化能力强。
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。
Numerical test results show that SVR has good ability of modeling nonstationary financial time series and good generalization under small data set available.
数值实验表明，SVR方法对非平稳的金融时间序列具有良好的建模和泛化能力。
Because of its convenience and its ability for generalization to any three-dimensional propellants, this method has good prospects for actual application.
由于该方法方便快速，且能应用于任何三维装药的燃面计算，所以具有较好的应用前景。
Because of its convenience and its ability for generalization to any three-dimensional propellants, this method has good prospects for actual application.
由于该方法方便快速，且能应用于任何三维装药的燃面计算，所以具有较好的应用前景。
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