摘要
机械装备性能衰退趋势预测模型,采用单隐层前馈网络,通过径向基函数的扩展速度的选择创建网络。其模型通过结构设计、函数选择及参数确定构造。用仿真数据对其进行验证,结果表明该模型对机械装备性能衰退趋势具有很好的预测能力。
The decay trend prediction model of mechanical equipment capability adopted single invisible layer feed forward network and chose the expansion speed of RBF, the network was established. The model ensured its structure through structure design, function choosing, and parameter. The simulation data was used to validate the model. The result indicated the model had good prediction capability for capability decay trend of mechanical equipment.
出处
《兵工自动化》
2006年第10期64-64,69,共2页
Ordnance Industry Automation
关键词
趋势预测
性能衰退
径向基函数
神经网络
Trend prediction
Capability decay
RBF （Radial Basis Function）
NN （Neural Network）
