BP神经网络对陶瓷材料烧结性能预测的研究

A Study of Forecasting Sintering Characteristics of Ceramic Materials Using BP Artificial Neural Networks

用C++语言建立了BP神经网络模型,并用TZP陶瓷材料的烧结性能数据进行训练及预测。预测结果表明,BP神经网络可以用于陶瓷材料的烧结性能的预测,并且精度较高。

A BP artificial neural network model is created by C + + language,and is trained for forecasting with data on sintering characteristics of TZP ceramic materials.The results of forecasting show that BP artificial neural networks can provide high accurate forecasting of the sintering characteristics of ceramic materials.