Optimum Design of Perforated Mufflers by Using Neural Network and Genetic Algorithms

碩士 === 大同大學 === 機械工程學系(所) === 95 === In this research, the combination of neural network and genetic algorithm (GA) is applied to the optimal design of perforated mufflers. The target frequencies in the optimization process of perforated muffler are 500Hz, 1000Hz, and 2000Hz, respectively. The mathe...

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Bibliographic Details
Main Authors: Mu-min Cheng, 鄭牧民
Other Authors: Ying-Chung Chang
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/2c7xut