基于模糊联想记忆神经网络的大坝安全监控系统建模研究

Building monitoring model for dam safety by use of fuzzy association memory neural network

模糊神经网络独特的结构和强大的处理信息的能力 ,为采用从定性到定量的综合集成方法研究大坝工作性态提供了有力的技术支持 .将模糊联想记忆神经网络技术与大坝安全监控的领域特点相结合 ,用来建立位移、扬压力等的监控模型 ,经实例分析模型预报精度可以满足工程要求 .

Fuzzy neural network has a distinctive structure and strong ability dealing with information. It provides technology support with studying dam work character from qualitative analysis to quantitative analysis. Based on field character of monitoring dam, monitoring models of displacements and uplift pressures are built by use of fuzzy association memory neural network theory. Example shows that the forecast precision can reach forecast aim.