理化检验-物理分册2025，Vol.61Issue(5)：14-20,7.DOI:10.11973/lhjy-wl240358
钢材晶粒度评级的人工智能研究和应用
Artificial intelligence research and application of steel grain size rating
陈德 1齐彪 1胡晴莽 1周三保 1雷华北 1葛小波1
作者信息
- 1. 攀钢集团西昌钢钒有限公司,西昌 615000
- 折叠
摘要
Abstract
The neural network deep learning method was used to intelligently evaluate the grain size of steel.The grain size feature database was established by manual marking of grain size samples.The grain size convolutional neural network standard model was constructed by using computer artificial intelligence and neural network deep learning technology.Through the model rating,the grain size evaluation results were finally given.关键词
晶粒度/人工智能/神经网络/标准模型Key words
grain size/artificial intelligence/neural network/standard model分类
矿业与冶金引用本文复制引用
陈德,齐彪,胡晴莽,周三保,雷华北,葛小波..钢材晶粒度评级的人工智能研究和应用[J].理化检验-物理分册,2025,61(5):14-20,7.
