摘要
本文建立了灰铁性能预测的前馈型多层神经网络模型,并将其预测结果同多元统计分析结果作了比较,分析了人工神经网络模型的优点。
A feedforward multilayer neural network model has been established in this paper for prediction of gray cast iron properties. The predicted results obtained were compared with that obtained by multiple statistic analysis. Advantages of neural network model was also examined.
出处
《现代铸铁》
CAS
1996年第3期34-38,共5页
Modern Cast Iron
关键词
神经网络
性能
预测
灰口铁
Artificial neural network Gray cast iron Property prediction