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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/2c7xut |