| 耗能－隔震柔性底层钢管混凝土结构的振动台实验和损伤分析 |
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| 引用本文： | 刘兴业,王海超,邓文樵. 耗能－隔震柔性底层钢管混凝土结构的振动台实验和损伤分析[J]. 地震工程与工程振动, 1996, 0(4) |
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| 作者姓名： | 刘兴业 王海超 邓文樵 |
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| 作者单位： | 天津大学，燕山大学，阜新工程技术学院 |
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| 摘 要： | 本文采用人工神经元网络理论，对城市公路网络中的单元路段和桥梁的震害预测进行了探讨。在前人研究的基础上，提出了解决这一非确定性问题的一个有效的方法，对于深入研究生命线工程系统震害的规律具有普遍的意义，从而使我们有可能避免地震造成的破坏和最大限度地减小损失，为抗震减灾提供决策依据。
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| 关 键 词： | 人工神经元，破坏概率，神经网络 |
APPLICATION OF ARTIFICIAL NEURAL NETWORK TO SEISMIC DISASTER FORECAST OF HIGHWAY ENGINEERING |
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| Liu Xingye, Wang Haichao, Deng Wenjiao. APPLICATION OF ARTIFICIAL NEURAL NETWORK TO SEISMIC DISASTER FORECAST OF HIGHWAY ENGINEERING[J]. Earthquake Engineering and Engineering Vibration, 1996, 0(4) |
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| Authors: | Liu Xingye Wang Haichao Deng Wenjiao |
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| Affiliation: | Liu Xingye; Wang Haichao; Deng Wenjiao (Tianjin University)(Yanshan University)(Fuxin Technical Engineering Institute) |
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| Abstract: | n this paper, the authors apply the theory of artificial neural network to discuss the seismic disaster forecast of road element and bridge in urban highway network. On the basis of predecessor' research, an effective method is presented to resolve this uncertainty problem.It has universal significance to make further research of seismic disaster rule for lifeline engineering system,and so it is possible for us to avoid the damage caused by earthquake, to minimize the loss and to present the decision basis for earthquake disaster relief. |
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| Keywords: | Artificial neuron Damage probability neural network |
| 本文献已被 CNKI 等数据库收录！ |
