本文采用动态小波神经网络方法，对复合材料疲劳剩余寿命进行了预测，结果与试验结果很接近。
The dynamic wavelet neural network method is applied to predict the fatigue residual life of the composite material. The predicting result is very close to the testing result.
试图用BP神经网络建立轴承寿命预测模型，并在该模型上进行多特征参数和多步预测方法的研究。
The bearing life forecast model based on BP network is researched. The multi step and multi feature forecasts can be realized concurrently.
本文分析了人工神经网络的特点及模型，以及其在普通硅酸铝纤维寿命预测中的应用。
In this paper, the characteristic and models of artificial neural networks are analyzed. The application of artificial neural networks in the lifespan forecast of ceramic fiber are also discussed.
应用推荐