摘要
基于人工神经网络 (ANN)误差反传算法 (BP模型 ) ,提出了一种电流变密封试验数据处理的新方法。以四种影响因素作为输入数据 ,电流变密封质量作为输出数据 ,建立电流变密封试验的ANN模型。结果表明 :ANN模型具有较好的拟合效果 ,预测精度优于回归方程。
Based on the BP model of ANN,a new method for t he data processing of electrorheological fluid sealing was proposed.Using the four influencing factors as the input data and the quality of electrorheological flu id sealing as the output data,a ANN model of electrorheological fluid sealing wa s established.The results show that the ANN model has a good fitting effect.It h as higher prediciting accuracy than that of the regression model.
出处
《机床与液压》
北大核心
2004年第12期116-117,共2页
Machine Tool & Hydraulics
关键词
人工神经网络
电流变密封
数据处理
ANN
Electrorheological fluid sealing
Data proce ssing
