摘要
针对装备备件重要度的评估问题,构建了相应的评估指标体系,建立了用于备件重要度评估的三层BP神经网络。然后,构造样本对BP神经网络进行训练,利用训练好的网络对备件重要度进行评估。结果表明,该方法能够较好地克服人为因素和模糊随机性的影响,取得了较好的评估效果。
Aiming at the criticality evaluation problem of the materiel spare parts,an evaluation index system was set up and a 3-level BP neural network was established for the evaluation.Then,the training samples were built to train the BP network and the trained network was used to evaluate spare parts criticality.The results show that the method can avoid the influence of human factors and fuzzy-randomicity and has a good evaluation effect.
出处
《飞机设计》
2011年第2期64-66,共3页
Aircraft Design
关键词
备件
重要度评估
BP神经网络
spare parts
criticality evaluation
BP neutral network
