Estimation of plasma equilibrium parameters via a neural network approach<xref rid="cpb_28_12_125204fn1" ref-type="fn">*</xref><fn id="cpb_28_12_125204fn1"><label>*</label><p>Project supported by the National Magnetic Confinement Fusion Energy R&D Program of China (Grant No. 2018YFE0302100), the National Key Research and Development Program of China (Grant Nos. 2017YFE0300500 and 2017YFE0300501), the National Natural Science Foundation of China (Grant Nos. 11575245, 11805236, and 11905256), and Young and Middle-aged Academic Back-bone Finance Fund from Anhui Medical University.</p></fn>

Estimation of plasma equilibrium parameters via a neural network approach**

Project supported by the National Magnetic Confinement Fusion Energy R&D Program of China (Grant No. 2018YFE0302100), the National Key Research and Development Program of China (Grant Nos. 2017YFE0300500 and 2017YFE0300501), the National Natural Science Foundation of China (Grant Nos. 11575245, 11805236, and 11905256), and Young and Middle-aged Academic Back-bone Finance Fund from Anhui Medical University.

Zhu Zi-Jian^{1, 2}, Guo Yong², Yang Fei^{3, †}, Xiao Bing-Jia^{1, 2}, Li Jian-Gang^{1, 2}

Test performance comparison for the model trained with different noised inputs.