基于AI的农村公路养护管理评价方法研究

综合考虑影响农村公路养护管理的各要素, 采用层次分析方法, 建立了包含目标层、准则层、 指标层的农村公路养护管理评价三级指标体系. 针对综合评价中知识学习积累问题, 研究了基于人工智能的模糊神经网络方 法在农村公路养护管理评价中的应用. 结合模糊理论和神经网络方法, 采用模块化设计思想初步建立了农村公路养护管理评价 的结构模型, 在评估系统中嵌入专家知识, 采用模糊理论对评价指标进行模糊化处理, 再利用多层神经网络进行数值分析, 最后将结果反模糊化, 实现对农村公路养护管理系统的综合评价. 同时通过实例说明了系统学习、系统评价的过程, 实例验证了所建模糊神经网络模型的可行性与有效性.

Artificial intelligence-based rural road maintenance management assessment system

An analytical hierarchy process (AHP)-based three-level assessment system (including target, criterion, and index) was established to cover all elements relevant to rural road maintenance management. This paper applies the artificial intelligence (AI)-based fuzzy neural network approach to the rural road maintenance management evaluation to handle problems related to knowledge acquirement and accumulation that is essential to comprehensive evaluation. Modular design, coupled with fuzzy theory and the neural network approach, was employed to tentatively develop a rural road maintenance management assessment model with built-in expert knowledge. Indexes in this model are initially fuzzified according to fuzzy theory, then analyzed in the multi-layer neural network, and conversely defuzzified to produce data that support and finalize the rural road maintenance management assessment. An example was given to illustrate the working mechanism of this assessment system, and to prove the feasibility and validity of the fuzzy neural network-based assessment model.