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电子信息专业硕士研究生机器学习课程交叉应用案例库建设研究

Research on the Construction of Cross-application Case Library for Machine Learning in Master's Program of Electronic Information
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摘要 在电子信息专业学位“机器学习”授课中,建立交叉应用教学案例库有利于促进分科知识融通发展为交叉学科知识体系。在探讨该应用案例库的建设思路和内容过程中,结合机器学习课程径向基网络、支持向量机等知识点构建部分案例,最终构建一个“电子信息-肝癌智能诊断”医工交叉应用案例库。构建交叉应用案例库有助于引导学生从实际案例出发,更具体掌握对于机器学习的应用操作。对于推动综合学习、跨学科合作、创新和问题解决具有重要的意义,不仅对学生有益,还对各个领域的实际应用和社会发展产生重要影响。 In the“Machine Learning”teaching of the Master's program in electronic information major,the establishment of a cross-application teaching case library is conducive to promoting the development of cross-disciplinary knowledge system by facilitating the integration of specialized knowledge.In exploring the construction ideas and content process of this application case library,specific cases are built by incorporating knowledge points from the Machine Learning course such as Radial Basis Function networks and Support Vector Machines.Ultimately,a cross-application case library is established,focusing on“Electronic Information-Liver Cancer Intelligent Diagnosis”within the medical engineering domain.The construction of a cross-application case library helps guide students to grasp the practical application of Machine Learning from real-world cases.It holds significant importance in promoting comprehensive learning,interdisciplinary collaboration,innovation,and problem-solving.This is beneficial not only for students but also has a crucial impact on practical applications and societal development across various fields.
作者 王小梨 冯影 吴润杰 WANG Xiaoli;FENG Ying;WU Runjie(School of Electronics and Information,Guangdong Polytechnic Normal University,Guangzhou 510665,China)
出处 《现代信息科技》 2024年第12期193-198,共6页 Modern Information Technology
基金 2021年度广东省基础与应用基础研究基金省市联合基金项目(2021A1515110078) 广东技术师范大学人才引进项目(2022SDKYA002) 广东技术师范大学专业学位研究生教学案例库建设项目(2022YJSPY03010) 广东技术师范大学《机器学习》示范课程(2024XJSFKC010)。
关键词 交叉应用案例库 机器学习 支持向量机 MindSpore框架 模糊分类 cross-application case library Machine Learning Support Vector Machine MindSpore framework fuzzy classification
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