feng peng, liu siyuan, mi deling. Identification of stochastic neutron pulse signal of 252Cf nuclear system based on Elman neural network[J]. High Power Laser and Particle Beams, 2011, 23.
Citation:
feng peng, liu siyuan, mi deling. Identification of stochastic neutron pulse signal of 252Cf nuclear system based on Elman neural network[J]. High Power Laser and Particle Beams, 2011, 23.
feng peng, liu siyuan, mi deling. Identification of stochastic neutron pulse signal of 252Cf nuclear system based on Elman neural network[J]. High Power Laser and Particle Beams, 2011, 23.
Citation:
feng peng, liu siyuan, mi deling. Identification of stochastic neutron pulse signal of 252Cf nuclear system based on Elman neural network[J]. High Power Laser and Particle Beams, 2011, 23.
Key Laboratory of Opto-electronics Technology and System of Ministry of Education,College of Opto-Electronics Engineering,Chongqing University,Chongqing 400044,China
Correct and effective identification of nuclear material is a key part for nuclear weapon’s verification. Based on the nuclear information system constructed with 252Cf spontaneous neutron source, the simulated autocorrelation functions are utilized for identification of different fissile mass with Elman neural network. The experimental results show the trained Elman neural network is able to distinguish the characteristics of autocorrelation function, identify different fissile mass, and the average identification rate reaches 85% and keep average synthesis error smaller than 0.04 with high robustness.
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