(SVM)相关论文
研究了多值分类支持向量机在机械故障诊断中的应用,以滚动轴承振动信号进行了分类实验。实验表明,在小学习样本条件下SVM比RBF人工......
在综合了各种单桩竖向极限承载力分析方法的基础上,建立了相应的单桩竖向极限承载力预测模型.以实测数据为学习样本和测试样本,讨......
收集中国常用的、具有代表性的奶牛精补料44个样品，制备176个脲醛树脂（urea—formaldehyde resins，UF）掺假样品。在全光谱范围内进行近......
Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algo
In microarray-based cancer classification, gene selection is an important issue owing to the large number of variables a......
Affected by external environmental factors and evolution of dam performance, dam seepage behavior shows nonlinear time-v......
Intelligent Optimization Methods for High-Dimensional Data Classification for Support Vector Machine
Support vector machine (SVM) is a popular pattern classification method with many application areas. SVM shows its outst......
The rise of social media paves way for unprecedented benefits or risks to several organisations depending on how they ad......
Multi-label learning is an active research area which plays an important role in machine learning. Traditional learning ......
The recognition of electroencephalogram (EEG) signals is the key of brain computer interface (BCI).Aimed at the problem ......
