桥梁工程鉴识专家系统设计开发

摘要

考虑桥梁工程鉴识过程中影响要素的复杂性,将其视为灰系统反问题,应用神经网络方法避免解的不适定问题带来的求解困难.采用VFP和MATLAB语言分别构建了＂桥梁工程鉴识专家系统＂的知识数据模块和神经网络仿真模块,并通过两大核心模块与其他辅助模块的良性互动,实现了该系统的信息收集、系统仿真及鉴识分析等各项功能.为进一步的信息完善和网络训练提供开放、友好、安全的平台,以实现鉴识专家系统的准确性和稳定性.%This paper discussed complexity factors influencing bridge engineering forensic.Forensic process was considered as a grey system inverse problem and solved by neural network method in order to avoid difficulty from ill-posed problems.VFP and MATLAB language were used to design knowledge data module and neural network simulation module of Bridge Engineering Forensics Expert System.This two core modules and the others auxiliary module worked together well to achieve information collection,system simulation,and forensic analysis,which helps to provide open,friendly and secure plat-form for further data collection and network training towards accuracy and stability of the forensic expert systems.