研究轴承剩余寿命预测,研究轴承故障特征在进行支持向量优化的寿命预测
标签: svm的轴承寿命预测
上传时间: 2016-02-28
上传用户:xllin
我们应该好哈乘此资源,不是积分随便乱发额。哈哈哈哈,seishem 就是囊奥‘ 啊’
上传时间: 2016-08-20
上传用户:ysystc699
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上传时间: 2016-08-20
上传用户:ysystc699
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上传时间: 2016-08-20
上传用户:ysystc699
此方法是对lmd方法的创新,有效的解决了lmd的断电效应
上传时间: 2016-08-25
上传用户:gaoqinwu
模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值
上传时间: 2016-12-25
上传用户:wwwnada
SVM--支撑向量机的相关源代码 数据 与案例分析
上传时间: 2018-11-26
上传用户:marsalon
Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification.
标签: LibSVM
上传时间: 2019-06-09
上传用户:lyaiqing
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local scaling heuristic strategy, then optimize a pair of nonparallel hyperplanes through two smaller sized support vector machine (SVM)-typed problems. In the prediction stage, BDTWSVMs assign to the class label depending on the kernel density degree-based distances from each test point to the two hyperplanes. BDTWSVMs not only inherit good properties from twin support vector machines (TWSVMs) but also give good description for data points. The experimental results on toy as well as publicly available datasets indicate that BDTWSVMs compare favorably with classical SVMs and TWSVMs in terms of generalization
标签: recognition Bi-density machines support pattern vector twin for
上传时间: 2019-06-09
上传用户:lyaiqing
使用基本的SVM 模型对MNIST数据集分类
上传时间: 2019-10-25
上传用户:tony123456789