| 并行神经元集成在风险评估中的应用 |
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| 引用本文： | 李豹. 并行神经元集成在风险评估中的应用[J]. 安徽工程科技学院学报：自然科学版, 2009, 24(4): 38-41 |
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| 作者姓名： | 李豹 |
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| 作者单位： | 中国人民银行芜湖市中心支行科技科,安徽,芜湖,241000 |
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| 摘 要： | 研究了信息安全风险评估的并行求解方法,以神经元集成为出发点,借助于多个神经元网络并行逼近风险评估值,以降低评估时间和提高评估精度.提出了并行神经元集成风险评估算法,并应用到实例中,实验表明,并行算法能够有效地减少评估花费的时间和增加风险评估准确性.
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| 关 键 词： | 信息安全风险评估 并行算法 神经元网络集成 |
Parallel algorithms based on neural network ensemble for risk assessment |
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| LI Bao. Parallel algorithms based on neural network ensemble for risk assessment[J]. Journal of Anhui University of Technology and Science, 2009, 24(4): 38-41 |
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| Authors: | LI Bao |
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| Affiliation: | LI Bao(Technology Section of Wuhu Central Sub-Branch of the People's Bank of China,Wuhu 241000,China) |
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| Abstract: | The article studies the parallelizing method for information security risk assessment.Based on neural network ensemble,the paper establishes the ways of parallel training by using some diversity neural network,and gives a numerical simulation example to illustrate these methods.The experimental results show that parallel algorithm can decrease the computing time and yield higher accuracy. |
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| Keywords: | information security risk assessment parallel algorithms neural network ensemble |
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