摘要
将人工神经网络理论和算法应用于双辉离子渗碳的研究,在对人工神经网络训练的基础上,建立了双辉离子渗碳工艺与渗层性能预报的数学模型。试验结果验证了性能预报神经网络模型的可靠性,为解决双辉离子渗碳性能预报问题提供了一条先进、合理的途径。
The theory and algorithm of artificial neural network were applied in the research of double glow plasma carbonizing. On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built. It presents an advanced and effective approach to the prediction of properties of the double glow plasma carbonizing.
出处
《热加工工艺》
CSCD
北大核心
2006年第6期47-48,共2页
Hot Working Technology
关键词
人工神经网络
性能预报
双辉离子渗碳
artificial neural network, prediction of properties
double glow plasma carbonizing
