摘要
针对《神经网络理论及应用》课程理论知识抽象、信息覆盖面广等特点,选择Python作为实践教学工具,将“基于BP神经网络的鸢尾花分类”案例引入《神经网络理论及应用》课程,阐述了该案例的BP神经网络算法流程,设计了基于BP神经网络的鸢尾花分类模型,并利用鸢尾花数据集(Iris Dataset)进行验证,以此激发学生的学习兴趣,将理论教学和实践教学紧密结合,培养学生的创新能力与实践能力。
Aiming at the characteristics of abstract theoretical knowledge and wide coverage of information in the course"Neural Network Theory and Application",Python was chosen as a practical teaching tool.The case of"Iris classification based on BP neural network"was introduced into the course.The BP neural network algorithm flow to build the iris classification model was introduced in detail,and the Iris Dataset is used to verify it.The case is helpful to stimulate students'interest in learning,and combine theoretical teaching with practical teaching to cultivate students'innovative ability and practical ability.
作者
廉小亲
黄雪
吴静珠
高超
郑彤
LIAN Xiao-qin;HUANG Xue;WU Jing-zhu;GAO Chao;ZHENG Tong(School of Artificial Intelligence,Beijing Technology and Business University,Beijing,100048,China)
出处
《电脑与信息技术》
2023年第3期12-15,23,共5页
Computer and Information Technology
基金
北京工商大学研究生教育教学改革专项(项目编号:19008022056)
人才培养质量建设一流本科专业建设(项目编号:19008022023)
2020年北京高等教育“本科教学改革创新项目”(项目编号:173)。
关键词
神经网络
教学案例
鸢尾花分类
Neural network
teaching cases
classification of Iris
