Dataset associated with "Detection of non-Gaussian behaviour using machine learning techniques"
收藏DataCite Commons2023-06-30 更新2024-07-13 收录
下载链接：
https://mountainscholar.org/handle/10217/196642
下载链接
链接失效反馈官方服务：
资源简介：
This repository contains eleven data files for the Lorenz63 model: testdata: contains the x, y and z variables test trajectory traindata: contains the x,y and z variables training trajectory skewdata9skew: contains the z-value and p-value on the training trajectory, window length of 9 (radius 4) skewdata17skew: contains the z-value and p-value on the training trajectory, window length of 17 (radius 8) skewdata25skew: contains the z-value and p-value on the training trajectory, window length of 25 (radius 12) MLprediction9diff: Class values for the support vector machine and neural network, window length 9 points (radius 4), differences data classes MLprediction17diff: Class values for the support vector machine and neural network, window length 17 points (radius 8), differences data classes MLprediction25diff: Class values for the support vector machine and neural network, window length 25 points (radius 12), differences data classes MLprediction9skew: Class values for the support vector machine and neural network, window length 9 points (radius 4), skewness data classes MLprediction17skew: Class values for the support vector machine and neural network, window length 17 points (radius 8), skewness data classes MLprediction25skew: Class values for the support vector machine and neural network, window length 25 points (radius 12), skewness data classes.
提供机构：
Mountain Scholar
创建时间：
2019-09-07
