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桥梁工程鉴识专家系统设计开发
引用本文:林立.桥梁工程鉴识专家系统设计开发[J].鹭江职业大学学报,2012(4):64-68.
作者姓名:林立
作者单位:厦门理工学院土木工程与建筑系,福建厦门361024
基金项目:福建省自然科学基金项目(2012J05104);厦门理工学院高层次人才科技项目(YKJ11018R);公路工程省部共建教育部重点实验室开放基金项目(kfj090106)
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.

关 键 词:桥梁工程  鉴识专家系统  神经网络  工程鉴识  系统模块

Developing a Bridge Engineering Forensic Expert System
LIN Li.Developing a Bridge Engineering Forensic Expert System[J].Journal of Lujiang University,2012(4):64-68.
Authors:LIN Li
Institution:LIN Li(Faculty of Civil Engineering and Architecture,Xiamen University of Technology,Xiamen 361024,China)
Abstract: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.
Keywords:bridge engineering  Forensic Expert System  neural network  engineering forensic  system module
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