机译:混合神经网络用于J-TEXT托卡马克的密度极限破坏预测和避免
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
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 in Huazhong University of Science and Technology, Wuhan 430074, China;
density limit; disruption; real-time; disruption prediction; neural network;
机译:J-TEXT托卡马克密度极限破坏的预测
机译:神经网络预测由J-TEXT托卡马克上的锁定模式引起的中断
机译:J-TEXT Tokamak上的锁定模式导致的中断的神经网络预测
机译:神经网络方法估算和预测托卡马克反应堆的破裂时间
机译:托卡马克密度极限的热阻撕裂模式模型
机译:基于混合连续密度基于Hmm的集成神经网络用于无线传感器网络中的传感器故障检测和分类
机译:谐振磁法扰动对J-Text Tokamak中断极限的影响研究
机译:基于神经网络的自动限值预测与回避系统及方法