提出了一种基于多分类支持向量机的齿轮箱故障诊断方法。
A gearbox fault diagnosis method based on multi-class support vector machine was proposed in this paper.
本文利用多分类支持向量机实现了国画图像的五分类问题。
This paper implements the issues of TCP five-classifying using multiple classifiers.
研究基于多分类支持向量机的中医舌诊诊断，构建一个中医舌诊诊断的神经网络模型。
The paper presents the multi-class support vector machines is applied in TCM inspection of tongue diagnosis, to construct a neural networks model of TCM inspection of tongue diagnosis.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
采用小波多分辩率分析方法提取基因表达的特征，利用支持向量机和BP神经网络方法进行分类。
The features of gene expression are extracted by the wavelet multi-resolution analysis, the features are classified by the support vector machines and BP neural network methods.
本文着眼于营销预警与防范体系中的营销风险评价层面，将多分类的支持向量机方法做为一种新的评价模型引入到营销风险评价实务中。
This paper focuses on the marketing risk evaluation, and introduce the method of Multi-Class Support Vector Machine as a new appraisal model to the marketing risk assessment practice.
采用了一种基于编码支持向量机的多分类方法，该方法解决了SVM多分类问题的同时，有效地减少了训练和测试时间，提高了算法的效率。
We solve the multi-classification task by using a so called Coding SVM. By using this algorithm, we not only solve the classification task but also reduce the training and testing time.
最后，提出了一种基于子频带特征提取和二叉树结构支持向量机相结合的电能质量多分类方法。
Finally, a method based on sub-band feature extraction and Support Vector Machine with Binary Tree Architecture (SVM-BTA) is presented for power quality disturbances multi-classification.
最后，提出了一种基于子频带特征提取和二叉树结构支持向量机相结合的电能质量多分类方法。
Finally, a method based on sub-band feature extraction and Support Vector Machine with Binary Tree Architecture (SVM-BTA) is presented for power quality disturbances multi-classification.
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