模糊神经网络在装备维修质量评价系统的应用

Application of Fuzzy Nerve Network in the Evaluation System for Equipment Maintenance Quality

构建了基于模糊神经网络的评估方法,建立了特种装备维修质量神经网络模型,并利用MATLAB对该模型进行了仿真模拟,并对具体实验数据进行了分析。与传统的模糊综合评估法相比,模糊神经网络法克服了模糊系统精度不高的问题,降低了评价结果的模糊性,可以提供更可靠的维修决策支持。

This paper constructs an appraisal method which bases on the fuzzy nerve network and establishes the nerve network model for special equipment maintenance quality; it uses MATLAB to simulate the model, and analyzes the concrete experiment datum. Comparing with the traditional fuzzy integrative evaluation method, the fuzzy nerve network overcomes the fuzzy system＇s precision＇s low-rise question, reduces the fuzziness of appraisal result, and provides a mote reliable maintenance decision to support.