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综论人工智能技术在大坝安全监控中的应用
引用本文:苏怀智,顾冲时,吴中如.综论人工智能技术在大坝安全监控中的应用[J].水电自动化与大坝监测,2000,24(3):7-9.
作者姓名:苏怀智  顾冲时  吴中如
作者单位:河海大学水电学院,南京,210098
摘    要:人工智能技术经过从结构主义向功能主义、从硬件方法向软件方法的转变,在现代先进的计算机软硬件技术支持下,许多领域已取得了巨大的成功。综论了几种人工智能技术在大坝安全监控领域中的应用。数据开采是一门新兴智能技术,它的引入可解决大坝安全监控数据量大,知识面广,从而带来分析问题速度慢的困难;专家系统将专家知识编码成计算机能够识别的语言,将专家的经验和思维转化成先进合理的推理策略,为大坝安全评价提供专家级的技术支持;神经网络技术独特的结构和处理信息的方法,对解决大坝安全监控专家系统的“瓶颈”问题是一个很好的方法。

关 键 词:人工智能  大坝  数据开采  专家系统  神经网络

APPLICATION OF ARTIFICIAL INTELLIGENCE THEORY TO DAM SAFETY MONITORING
Su Huaizhi,Gu Chongshi,Wu Zhongru.APPLICATION OF ARTIFICIAL INTELLIGENCE THEORY TO DAM SAFETY MONITORING[J].HYDROPOWER AUTOMATION AND DAM MONITORING,2000,24(3):7-9.
Authors:Su Huaizhi  Gu Chongshi  Wu Zhongru
Affiliation:College of Water Conservancy and Hydropower Engineering. Hohai University. Nanjing 210098
Abstract:Artificial intelligence theory is widely applied in many fields successfully. Intelligence theories in the field of dam safety monitoring are studied. Data mining is a new and developing intelligence technology. It can support the fast analysis system. The expert system translates experts knowledge into computer language and translates experts experience and thought into reasonable inference tactics. The expert system provides technical support for dam safety appraisal. Artificial neural networks may solve bottle-neck' problem of the expert system of dam safety monitoring. The artificial intelligence theory will be used more widely in the field of dam safety monitoring.
Keywords:artificial intelligence theory  dam  data mining  expert system  neural network
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