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用人工智能神经网络方法提高宇宙线事例分析的效率
IMPROVEMENT OF DATA ANALYSIS EFFICIENCY FOR COSMIC RAY EVENTS IN TERMS OF THE ARTIFICIAL INTELLIGENCE NEURAL NETWORK
【摘要】 讨论了人工智能神经网络方法在分析宇宙射线数据中的应用.用蒙特卡洛方法随机产生了14个宇宙线事例,并输入到我们的程序中,其中12个做训练样品,两个做最终检验.结果显示,事例认证百分之百正确.虽然本文中用的机制很简单,但结果非常满意.
【Abstract】 In this work, we discuss possible application of the artificial intelligence neural network method for analyzing data of cosmic ray events. With the Monte-Carlo method, 14 cosmic ray events are randomly generated and input into our program for training and detection. The result indicates that the event identification is 100% correct. Even though the mechanism employed in this work is much simplified, results are quite satisfactory.
【关键词】 人工智能;
神经网络;
宇宙线分析效率;
【Key words】 artificial intelligence; neural network; efficiency for data analysis of cosmic ray events.;
【Key words】 artificial intelligence; neural network; efficiency for data analysis of cosmic ray events.;
【基金】 国家自然科学基金
- 【文献出处】 南开大学学报(自然科学版) ,JOURNAL OF NANKAI UNIVERSITY , 编辑部邮箱 ,1999年01期
- 【分类号】O572.1,TP18
- 【下载频次】56