摘要
采用人工神经网络预测模型可准确预测各类建筑材料的性能。“建筑材料”课程教学中应用虚拟实验教学法有助于学生理解实验操作的规范性、实验因素对材料性能的影响,提高教学质量。
The artificial neural network prediction model can accurately predict the properties of various building materials.The application of virtual experiment teaching method in the teaching of“building materials”course helps students understand the standardization of experimental operation and the influence of experimental factors on material properties,so as to improve the teaching quality.
作者
李翔
LI Xiang(School of Medicine and Technology,Zhenjiang College,Zhenjiang 212028,China;Zhenjiang Key Laboratory of Functional Chemistry, Zhenjiang College, Zhenjiang 212028, China)
出处
《镇江高专学报》
2022年第1期117-120,共4页
Journal of Zhenjiang College
基金
江苏省现代教育技术研究2018年度重点课题(2018-R-63528)
2018年度江苏高校哲学社会科学研究基金项目(2018SJA1110)。
关键词
虚拟实验
高职高专
建筑材料
人工神经网络
virtual experiment
vocational college
building materials
artificial neural network
