机器学习在矿物加工工程专业教学中的探索与实践
Exploration and Practice of Machine Learning in Mineral Processing Engineering Teaching
谢俊1
作者信息
- 1. 安徽理工大学材料科学与工程学院,安徽 淮南 232001
- 折叠
摘要
随着科技的迅速发展,机器学习在各个领域的应用越来越广泛.矿物加工工程作为矿产资源开发和利用的重要学科,对国家经济发展和人民生活的改善起着十分重要的作用.本研究以"矿物岩石学与煤化学"课程为例,探讨将机器学习技术融入矿物加工工程专业教学中,通过数据驱动的教学方法、数据分析与建模以及实验与实践的结合,提高学生的学习兴趣和实践能力,为矿物加工专业核心基础课特别是"矿物岩石学与煤化学"教学改革提供有益参考.
Abstract
With the rapid development of technology,the application of machine learning in various fields is becoming increasingly widespread.Mineral processing engineering,as a comprehensive discipline,faces new challenges and opportunities.Taking the course of"Mineral Petrography and Coal Chemistry"as an example,this research explores the integration of machine learning technology into the teaching of mineral processing engineering.Through data-driven teaching methods,data analysis and modeling,and the combination of experiments and practice,the aim is to enhance students'learning interest and practical abilities.Provide new references for the teaching reform of core basic courses in mineral processing majors,especially"Mineral Petrography and Coal Chemistry".
关键词
矿物加工工程/机器学习/课堂教学/教学模式Key words
mineral processing engineering/machine learning/classroom teaching/teaching model引用本文复制引用
出版年
2025
NETL
NSTL
万方数据