回归型支持向量机方法SVR具有很好的学习性能。
Support Vector Machine for regression (SVR) has shown very good learning performance.
本文提出对手写相似汉字进行识别的支持向量机方法。
This paper presents a recognition method of similar Chinese handwriting by support vector machine.
本文首次采用支持向量机方法对医学图像进行了分类研究。
This paper firstly investigates the application of support vector machines for medical image classification.
提出了一种基于支持向量机方法的球形机器人运动控制算法。
Based on the support vector machine method, a motion control algorithm for the spherical robot is introduced.
实验结果表明，基于支持向量机方法比BP神经网络更加准确。
The result of the experiment shows that the method based on SVR method is more performance compared to BP Neural Network.
实验结果表明，采用支持向量机方法进行变异语音分类是可行的。
Experimental results indicate that it is feasible to adopt SVMs for stressed speech classification.
目前研究最热的识别率最高的当属神经网络方法和支持向量机方法。
Currently, the hottest method is neural network method and support vector machine method which also have the highest accuracy rate.
该文提出的两种算法其核心均是利用支持向量机方法对样本进行分类。
The cores of the two algorithms presented in this paper are to classify the samples with SVM method.
研究结果表明，支持向量机方法在地震前兆数据处理中有着广泛的应用前景。
The results indicate that the support vector machine possesses extensive application prospects in processing earthquake precursory data.
本文首次将统计学习理论及支持向量机方法引入提高采收率方法的潜力预测中。
In this paper, statistical learning theory and support vector machine method are introduced in eor potentiality prediction for the first time.
将支持向量机方法应用到地基工程中，提出了计算地基承载力的支持向量机方法。
Applied support vector machine to foundation engineering, and proposed support vector machine method to compute the foundation bearing capacity.
针对这些情况，建立了一套采用试验设计、支持向量机方法进行新药试生产的系统。
Aiming at these situations, a new-medicines' preproduction system was presented, which was based on experiment-design and support-vector-machines methods.
将其应用于模糊支持向量机方法中，较好地将支持向量与含噪声或野值样本区分开。
The fuzzy membership based on the affinity among samples for support vector machine effectively distinguishes between support vectors and outliers or noises.
在人耳识别的最后部分尝试探索使用在小样本识别中具有很大优势的支持向量机方法。
On the last part of ear recognition, the author attempts to employs the method of SVM (Support Vector Machine), which has some superiority in small sample biometric recognition.
多组试验表明，支持向量机方法的准确性和稳定性较传统线性分类方法均具有明显优势。
Our tests show that the veracity and stability of support vector machine are both obviously superior to the traditional linear classifying methods.
提出了两级金字塔影像上的决策树支持向量机方法，解决航空影像中多类地物的分割问题。
This paper proposes the method of decision-tree SVM on two levels pyramid image, it could solve the segmentation problem of multi-classes objects on aerial image.
结果表明：在根据微量元素摄入量进行乳腺癌发病率预测方面，支持向量机方法有明显的优势。
The result indicated that support vector machine method has the obvious superiority in the forecast of breast cancer incidence rate based on gain quantity of trace element.
其中根据各样本重要性的不同，引入了加权支持向量机方法，然后利用免疫规划算法对其进行参数优化。
The immune programming algorithm, inspired by the immune system of human and other mammals, was used to optimize the parameters of weighted support vector machines.
本文用支持向量机方法从蛋白质一级结构出发区分同源二聚体、同源三聚体、同源四聚体和同源六聚体。
Support vector machine approach is applied to classifying the homodimers, homotrimers, homotetramers and homohexamers from the primary structure.
支持向量机方法基于小学习样本条件下，通过寻求结构风险最小，以期获得良好的分类效果和泛化能力。
The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.
实验结果表明，结合核主成份分析的特征提取，支持向量机方法是一种很有前景的多目标图像分割技术。
This paper investigates the segmentation of multi-target image based on SVM approach combining feature extraction of kernel PCA.
本项目以统计学习理论为基础，深入研究了应用支持向量机方法解决机械智能诊断和状态预测的相关问题。
Based on statistical learning theory (SLT), the relevant problems of solving the machinery intelligent diagnosis and condition prediction are thoroughly researched in this project by means of SVM.
仿真试验结果表明这种新的模糊支持向量机方法不但有较高的分类准确率，而且对隶属度有很强的预测能力。
Emulational experimental result shows that this new fuzzy support vector machine method not only has higher classified accuracy, but also has stronger test capability for the membership degree.
结果表明，支持向量机方法不但可以较准确的预测大盘的走势，而且对于个股股价的预测也具有很好的效果。
The result indicated that, support vector machine not only to be allowed to forecast indexes trend more accurately. It also has the very good effect regarding the stock price forecast.
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。
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。
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.
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