Investigation of the J-TEXT plasma events by k-means clustering algorithm |
| |
作者姓名: | 李建超 张晓卿 张昱 Abba Alhaji BALA 柳惠平 周帼红 王能超 李达 陈忠勇 杨州军 陈志鹏 董蛟龙 丁永华 the J-TEXT Team |
| |
作者单位: | 1. Hubei Key Laboratory of Optical Information and Pattern Recognition,Wuhan Institute of Technology;2. International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics,State Key Laboratory of Advanced Electromagnetic Engineering and Technology,School of Electrical and Electronic Engineering,Huazhong University of Science and Technology |
| |
基金项目: | National Natural Science Foundation of China (Nos.12075096 and 51821005); |
| |
摘 要: | Various types of plasma events emerge in specific parameter ranges and exhibit similar characteristics in diagnostic signals,which can be applied to identify these events.A semisupervised machine learning algorithm,the k-means clustering algorithm,is utilized to investigate and identify plasma events in the J-TEXT plasma.This method can cluster diverse plasma events with homogeneous features,and then these events can be identified if given few manually labeled examples based on physical understa...
|
|