【作者】 刘么和； 陈源； 熊健民；

【Author】 LIU Yao-he,CHEN Yuan XIONG Jian-min (School of Mechanical Engineering,Hubei University of Technology, Wuhan,Hubei,430068,China)

【机构】 湖北工业大学机械工程学院；

【摘要】 机械振动一直是工程技术中迫切需要解决的问题。周期结构声子晶体在减振降噪方面的应用越来越受到人们的重视。本文运用自适应智能算法对二维声子晶体的带隙宽度进行优化设计,用Rough集的数据分类简约功能对带隙宽度难点进行了研究,去掉了多余属性的样本数据,从而使神经网络拓扑结构优化。计算结果表明,智能算法在带隙优化设计中是一个很有意义的研究方向。更多还原

【Abstract】 The mechanical vibration is an important problem to engineering studying.Vibration and noise reduction have attracted great attention and been intensely studied.This article utilizes the adaptive computation to carry on the optimized design to the two-dimensional phononic crystal with band gap,has conducted the research in the Rough Sets data reduction function to the band gap difficulty,has removed the unnecessary attribute sample data,thus causes the BP neural network topology optimization.The computed result indicated that,the intelligent algorithm is one has the significance research direction very much in the band gap optimization design.更多还原