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ID:31982814
大小:3.41 MB
页数:60页
时间:2019-01-30
《基于压缩采样的复杂产品仿真优化响应面构造方法-研究》由会员上传分享,免费在线阅读,更多相关内容在教育资源-天天文库。
1、华中科技大学硕士学位论文4)Theresponsesurfacesimulationoptimizationmethodbasedoncompressivesampling.Ontheprecisereconstructingresponse,accurateandstablesubdivisionmatrixmethodisusedtogettheoptimaldesignpoint.Numericalexperimentsshowthatwhentheresponsesurfacecanbecompressed,themet
2、hodneedsfewersimulationsandoptimizationresultsaremorepreciseandstable.Finally,themethodandalgorithminthispaperarerealizedinMatlab,andapplytotheICFindirectlydrivenradiationsymmetryanalysis.Comparedwithhybridadaptiveresponsesurfacemethod,experimentalresultshowsthatthes
3、imulationcalculationtimesoftheresponsesurfacesimulationoptimizationmethodbasedoncompressivesamplingisreduced,andtheoptimizationresultsmoreaccurateandstable.Keywords:Complexproduct,SimulationOptimization,ResponseSurface,CompressiveSamplingIII万方数据华中科技大学硕士学位论文目录摘要......
4、................................................................................................................................IAbstract................................................................................................................................II
5、1绪论.................................................................................................................................11.1研究目的及意义.............................................................................................................11.2国内外研究现状....
6、.........................................................................................................31.3全文结构安排和内容概要..............................................................................................72响应面的稀疏表达...........................................
7、.................................................................82.1响应面的离散稀疏表达..................................................................................................82.2响应面的连续稀疏表达............................................................................
8、....................172.3本章小结......................................................................................................
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