摘要
基于范例的推理具有简化知识获取过程、求解效率高、进行知识积累等特点。笔者论述了如何将此方法应用于中厚板轧制过程的规程制定,并提出了一种将BP神经网络算法用于预报轧制力,进行范例调整的方法。
CBR has merits of simplifing knowledge acquisition, high solution efficiency and knowledge accumulating. How to apply CBR method to establishing plate rolling regulations was described, and a new method using BP nerve net algorithm to predict rolling pressure and to regulate case was put forward.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2004年第3期71-74,共4页
Journal of Iron and Steel Research
