摘要
叙述可靠性增长的基本概念和神经网络BP算法，着重探讨BP算法用于可靠性增长预测的可能性。通过两个实例的预测结果，与常用的可靠性增长参数模型Duane，Gompertz的结果相比较。实例表明，该方法是可行的，而且是有效的，适应性强。可以预料，它不但能用于仪器设备试制过程中预测可靠性增长，而且可用于武器装备在储存过程之中可靠性下降的预估。
In this paper, we introduce the basic concept of the reliability growth and BP algorithm at first, then con- sider emphatically BP algorithm application in the reliablity - prediction , finally, examine the algorithm by some instances and compare with results of Duane model, Gompertz model . Results cleary show tha the approach is feasible and the effective. Further more, it can be effectively apply in the precliction of reliability storage in the weapon system.
出处
《强度与环境》
1999年第1期50-55,共6页
Structure & Environment Engineering
关键词
人工神经网络
可靠性预测
可靠性增长
BP算法
Artificial neural network, Reliability prediction, Reliability growth, ^+BP algorithm
