| 利用人工神经网络进行激光等离子体诊断 |
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| 引用本文： | 宋向阳,韩申生.利用人工神经网络进行激光等离子体诊断[J].光学学报,1996,16(4):00-503. |
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| 作者姓名： | 宋向阳 韩申生 |
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| 作者单位： | 中国科学院上海光学精密机械研究所!上海201800(宋向阳，韩申生，徐至展，黎忠，张令清)，中国科学院上海光学精密机械研究所!上(张正泉) |
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| 摘 要： | 利用前馈神经网络对激光等离子体打靶实验中所得的Ｘ光光谱数据进行处理，可以方便地球出等离子体的电子温度和电子密度等参数。在对网络的训练时采用误差信号反向传输算法，训练后的神经网络能够有效地对Ｘ光光谱数据进行处理，文中给出了用此法算出的Ｍｇ等离子体电子温度和电子密度的空间分布轮廓，与用传统方法所得的结果完全吻合。
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| 关 键 词： | 神经网络 X射线光谱 激光等离子体 诊断 |
| 收稿时间： | 1995/3/28 |
Laser Plasma Spectral Diagnostic Using a Neural Network |
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| Song Xiangyang, Han Shensheng, Xu Zhizhan, Li Zhong Zhang Lingqing, Zhang Zhengquan.Laser Plasma Spectral Diagnostic Using a Neural Network[J].Acta Optica Sinica,1996,16(4):00-503. |
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| Authors: | Song Xiangyang Han Shensheng Xu Zhizhan Li Zhong Zhang Lingqing Zhang Zhengquan |
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| Abstract: | A feed forward neural network is applied to the analysis of K-shell X-ray line spectra from a laser produced plasma, and to the accurate determination of the plasma parameters. After training on error backpropagation algorithm, the network can effectively produce the electron temperatures and the electron densities. The use of this method for X-ray is illustrated. Spectroscopy of a high density and high temperature Mg plasma is illustrated. The both parameters are produced, and agree well with the results from conventional method. |
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| Keywords: | neural nelwork analysis of X-ray line spectra |
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