神经网络在单机掩蔽库工程质量评定中的应用  

Application of Neural Networks in Assessment of the Single Aircraft Shelter Project Quality

作　　者：许金余[1] 杨俊[1] 黄小明 白二雷[1] 

机构地区：[1]空军工程大学工程学院 [2]空后机场营房部,北京100720

出　　处：《空军工程大学学报（自然科学版）》2006年第5期13-15,共3页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：军队科研基金资助项目

摘　　要：提出了运用神经网络方法评判单机掩蔽库的工程质量,构造了BP神经网络工程质量评判模型。该评定模型基于专家对各分项工程的评定结果,经过自行学习、联想、记忆和分类,较准确地评定了单机掩蔽库工程质量,评定结果具有较高的识别精度。The paper assesses the project quality of single aircraft shelter by adopting artificial neural networks, and a BP assessment model is established. The model is used to assess the project quality through self-study, association, memory, and classifying based on the specialists assessing result of every project. According to the theory and practice, it is proved that the neural networks can assess the single aircraft shelter project quality more precisely.

关 键 词：单机掩蔽库 神经网络 质量评定 

分 类 号：TU375[建筑科学—结构工程]