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中文摘要：
对强激光与等离子体相互作用三维数值模拟程序LARED_P数据输出进行分析，针对大规模数据模拟数据的特点，提出了基于BP神经网络的并行算法，即在各个搜索子空间内对训练集合中的学习样本进行并行训练。实例表明：不仅可避免陷入局部极小点，提高网络训练速度，而且仿真效果较好。
英文摘要：
To analyze the output of the results of LARED P, which is a 3-D electromagnetic code for laser-plasma interaction, this paper presents an parallel training algorithm of BP neural networks on the basis of the characteristic of large scale value simulation data, which is training learning samples in each search subspace at the same time. The experiment results show that this algorithm can not only avoid convergence to the local minimum, improve the training speed for the neural network, but also have good simulations.
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