Study on applications of neural network to deformation control of dam

摘要：

Neural networks are increasingly used in the study of deformation control dam based on its self-organization, adaptive, self-learning, associative memory, a high degree of fault-tolerant, parallel processing abilities, a high degree of non-linear mapping capability, as well as linear dynamic characteristics. In this paper combines former research achievements, summarize and analyze the application method of neural network to deformation control of dam, including the safety monitoring model and feedback analysis of dam. The application of neural network bring forward new problem for the research of neural network and put forward new demand on the implementation technology of neural network, which also drive the development of neural network theory and realization.

关键词： component BP neural network safety monitoring model back analysis genetic algorithm

作者: ChangBin Wu Qiao Yan MingLiang Bi Songzhao LV

作者单位: China Three Gorges University College of Hydraulic and Environmental Engineering 443002Yichang,China China Three Gorges Corporation Yichang,China Hubei Huaqing Electric Co ., Ltd EnShi, 445801, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 370-372

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）