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《Nuclear Fusion and Plasma Physics》 2010-01
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Prediction of plasma disruption using artificial neural network on HL-2A

MA Rui,WANG Ai-ke,WANG Hao(Southwestern Institute of Physics,Chengdu 610041)  
Prediction of plasma disruption using artificial neural networks(ANN) has been investigated on HL-2A.Two methods have been adopted to train ANN.In the first one,the original experimental data are used directly as the ANN input.In the second one,in order to reduce the noise and enlarge the implicit disruption information in original Mirnov signal,the preprocessing is given in original Mirnov signal in the training subset.The prediction results indicate that the second method is more accurate and effective comparing with the first one.
【Fund】: 国家自然科学基金资助项目(10775040)
【CateGory Index】: O532.1
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【Co-citations】
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