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应用模糊神经网络开发了以斜拉桥为背景的拉索桥梁安全性与耐久性评估专家系统。该系统能够同时处理数值型和语言描述型变量。根据桥梁监测过程中所获得的数据，它能对桥梁总体及其各个部分的状况进行评估，及时获得桥梁运行状态信息，评估其退化及损伤程度，对大型桥梁的现代化管理具有重要的现实意义。阐述了评估系统的工作原理及其实现方法，在介绍系统结构及各模块功能的同时，以斜拉桥试验为例展示该系统用于桥梁安全性及耐久性评估的部分功能。
The application of fuzzy neural network has been developed to evaluate the safety and durability of cable bridge bridges under the background of cable-stayed bridge. The system handles both numeric and language-descriptive variables. According to the data obtained during the bridge monitoring process, it can assess the status of the bridge as a whole and its various parts, obtain the information of the bridge operation status in time, evaluate the degree of degradation and damage, and have important practical significance for the modern management of large bridges. The working principle of the evaluation system and its implementation method are expounded. While the system structure and the function of each module are introduced, the cable-stayed bridge experiment is taken as an example to demonstrate some functions of the system for bridge safety and durability assessment.