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机构地区:[1]同济大学汽车学院,上海201804
出 处:《实验室科学》2016年第1期39-42,共4页Laboratory Science
摘 要:汽车噪声预测与控制是车辆工程专业一门重要的专业课。对车内声品质的日益关注以及人工神经网络技术在这方面的发展,使这门课程的教学实验内容需要不断更新。采用MATLAB与Lab VIEW联合编程实现教学实验中声品质主观评价模型的建立和测试系统的搭建,学生在使用中加深对神经网络建立声品质模型方法的理解,使其专注于实验过程,有利于激发学生课程的兴趣和积极性,从而提高教学实验的质量。Vehicle noise prediction and control is an important course for students majoring in automotive engineering. The growing concern for vehicle interior sound quality and the development of artificial neural network in this field require updates on experimental teaching contents of this course.Sound quality subjective evaluation model and test system were established by means of joint programming of MATLAB and LabVIEW,which can help students better understanding the technique for neural network based sound quality modeling. By this means,it could help to stimulate students' interests and enthusiasm,and furthermore improve the experimental teaching quality.
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