| PNN网络在公路隧道施工通风系统安全性评价中的应用 |
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| 引用本文： | 王新泉,董云霞. PNN网络在公路隧道施工通风系统安全性评价中的应用[J]. 中原工学院学报, 2006, 17(3): 8-10 |
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| 作者姓名： | 王新泉 董云霞 |
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| 作者单位： | 中原工学院,郑州,450007 |
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| 基金项目： | 国家安全生产监督管理总局2005年度安全生产科技发展计划项目(05235) |
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| 摘 要： | 隧道施工通风系统的可靠运行是保障隧道正常、安全施工的一个重要条件.本文针对研究对象的特点及研究目的、要求,运用概率神经网络(PNN)对隧道施工通风系统的指标进行仿真,仿真结果表明概率神经网络(PNN)仿真结果与运用BP网络的仿真结果一致,对于欲将研究对象归类分等的系统,运用概率神经网络(PNN)比BP网络更优越.
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| 关 键 词： | 隧道施工通风系统 评价指标 概率神经网络(PNN) |
| 文章编号： | 1671-6906(2006)03-0008-03 |
| 修稿时间： | 2006-04-18 |
The Application of PNN in the Safety Judgment on Tunnel Construction Ventilation System |
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| WANG Xin-quan,DONG Yun-xia. The Application of PNN in the Safety Judgment on Tunnel Construction Ventilation System[J]. Journal of Zhongyuan Institute of Technology, 2006, 17(3): 8-10 |
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| Authors: | WANG Xin-quan DONG Yun-xia |
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| Abstract: | Tunnel construction ventilation system is an important factor to make sure of normal and safety construction.Depending on the characteristic of study object as well as purpose and demand of study,Probabilistic Neural Networks(PNN) is applied to simulate the indexes of tunnel construction ventilation system,and the simulation results are consistent with that by using of Back Propagation(BP) neural networks.To make use of the system,the study object is categorized or classified,for the desire the Probabilistic Neural Networks (PNN) is more superior to BP. |
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| Keywords: | tunnel construction ventilation system judgment index Probabilistic Neural Networks |
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