摘要
大坝的结构和地质条件复杂，荷载种类众多，常规专家系统采用的知识表示方法和推理机制有时难以及时准确地对大坝的工作性态作出评价。本系统提出了传统专家系统与神经网络相结合的原理及实现方法，详细论述了系统的知识表示、学习、推理的机理和功能。系统已成功地应用于某混凝土面板支墩坝的疑点物理成因分析。
Owing to the various loads and on the complexities of dam structure and foundation,it is difficult to analyze doubtful points of monitoring data and assess the performance of dams accurately by the dam safety assessment expert system with its conventional knowledge representation and inference mechanism.To resolve this problem,an effective method which combines the neural network,knowledge base and inference engine is discussed in this paper.The system has been used to analyze doubtful points of monitoring data of one buttressed dam successfully.
出处
《大坝观测与土工测试》
1998年第2期16-19,共4页
Dam Observation and Geotechnical Tests
关键词
神经网络
专家系统
大坝
安全评价
neural network expert system dam safety assessment
