Combining Neural Network and Genetic Algorithms in the Optimum Design of Noise Cancellation Mufflers with Multiply Connected Tubes

碩士 === 大同大學 === 機械工程學系(所) === 96 === The thesis combines the optimum methods of Taguchi methods, Neural Network System and Genetic Algorithm (GA), and uses the Boundary Element Method to the optimum design of muffler by the software of acoustic analysis, “SYSNOISE”. The thesis is composed of 2 part...

Full description

Bibliographic Details
Main Authors: Ching-Chung Hsieh, 謝清中
Other Authors: Ying-Chun Chang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/45373188185942039972