基于人工智能的地球物理反演教学方法探讨  

作　　者：孟庆生[1] 樊玉清[1] 王秀海[1] 刘涛[1] 

机构地区：[1]中国海洋大学环境科学与工程学院,山东青岛266100

出　　处：《高教学刊》2023年第13期113-116,共4页Journal of Higher Education

基　　金：国家自然科学基金专项项目(科技活动项目)“科学传播类:基于‘四位一体’的中小学实践型海洋环境科普育人模式初探”(42142041);中国高等教育学会理科教育委员会研究课题资助项目“适应新时代需要的环境地球科学人才培养模式探索”(21ZSLKJYYB24)。

摘　　要：学科交叉融合已经成为现代科学与工程技术发展的重大趋势。该文以地球物理反演问题为例,针对环境地质工程专业研究生教学中存在的问题,将人工智能与深度学习技术引入其中,采用理论授课与实验教学相结合的手段,在达到教学目标的同时,也有效避开繁杂的数学物理方程讲解过程。相关教学方法成效显著,学生反映强烈,效果良好,对学生全方位、高素质培养起到积极的作用,也可为跨学科的相关专业教学提供借鉴作用。Interdisciplinary integration has become a major trend in the development of modern science and engineering technology.Taking geophysical inversion as an example,we focus on the problems existing in the teaching of graduate students majoring in environmental geological engineering,and introduce the artificial intelligence and deep learning technology,and adopt the means of combining theoretical teaching and experimental teaching,which not only achieves the teaching goal,but also effectively avoids the complicated explanation process of mathematical and physical equations.The relevant teaching method have achieved remarkable results,which are strongly reflected by students and have good results.The method has played a positive role in the all-round and high-quality cultivation of students,and also provide reference for interdisciplinary professional teaching.

关 键 词：地球物理反演 深度学习 交叉融合 跨学科 人工智能 

分 类 号：G642[文化科学—高等教育学]