Support Vector machine is one of the hot points in machine learning research, it's theoretical basis is Statistical learning Theory.
支持向量机是机器学习领域的研究热点之一，其理论基础是统计学习理论。
Support Vector Machine (SVM) is a kind of learning machines constructed according to SRM principle on the basis of VC theory, which is much more powerful man the neural networks.
支撑矢量机（SVM）是在VC理论的基础上根据结构风险最小归纳原理建立的一种比神经网络更强有力的学习机。
For this reason, several important properties of kernel function are discussed on the basis of support vector machine.
为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.
在具体分析了多种建模方法的基础上，提出了核主元分析结合最小二乘支持向量机软测量建模方法。
In addition, the author chooses the factor on the basis of influential factors analysis, employ the Support Vector Machine for constructing discrimination model of corporate information disclosure.
另外，文章在影响因素分析的基础上，进行变量筛选，利用支持向量机方法建立上市公司信息透明度判别模型。
On the basis of the experimental data of microstructure and strength for gray cast iron with high carbon equivalent, a model of support vector machine for gray cast iron prediction was established.
利用高碳当量灰铸铁组织强度试验数据，提出了一种基于支持向量机理论的灰铸铁强度预测模型。
For reliability analysis of structure with implicit limit state function, an iterative algorithm was presented on the basis of support vector classification machine.
针对结构隐式极限状态函数的可靠性分析，提出了一种支持向量机分类迭代算法。
Support Vector Machine (SVM) is used as the implementation basis, which is a tool of Statistical Learning Theory (SLT).
在探索手写字符识别的方法上采用了统计学习理论，利用支撑向量机SVM作为基本的识别工具。
Support Vector Machine (SVM) is used as the implementation basis, which is a tool of Statistical Learning Theory (SLT).
在探索手写字符识别的方法上采用了统计学习理论，利用支撑向量机SVM作为基本的识别工具。
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