Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks
Abstract We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy…
资源内容预览
查看资源范围、发布机构、版本、格式和关键技术标签,再进入完整资源或下载本地档案。
Abstract We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy…
资源说明
Abstract We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy…
研究使用指引
资源文件
资源信息需要更新?
可报告链接失效、文件异常、信息错误或版本变化,我们会核对并更新资源记录。