期刊
JOURNAL OF INTELLIGENT MANUFACTURING
卷 16, 期 1, 页码 39-51出版社
SPRINGER
DOI: 10.1007/s10845-005-4823-7
关键词
neural networks; training; guidelines; modelling; manufacturing process
Neural networks have been increasingly used in various areas of manufacturing. Modelling of manufacturing processes, to allow experimentation oil the model, is one of the areas in which successful applications have been reported. Most literature in this area is focused on network results. This paper concentrates on methods for training neural networks to model complex manufacturing processes. It summarises the use of neural network for process modelling in the past decade and provides some detailed guidelines for network training. A case study of a complex forming process is used to demonstrate a real implementation case in industry, and the issues arising from this case are discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据