關鍵字查詢 | 類別:會議論文 | | 關鍵字:Prediction of Flutter Derivatives Using Artificial Neural Networks

[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果
序號 學年期 教師動態
1 94/2 土木系 林堉溢 教授 會議論文 發佈 Prediction of Flutter Derivatives Using Artificial Neural Networks , [94-2] :Prediction of Flutter Derivatives Using Artificial Neural Networks會議論文Prediction of Flutter Derivatives Using Artificial Neural NetworksChen, C. H.; Lin, Y. Y.; Chen, J. H.淡江大學土木工程學系artificial neural network;flat plate;flutter derivative;wind tunnel testYokohama: Japan Association for Wind EngineeringThe Fourth International Symposium on Computational Wind Engineering, 4p.This paper develops an artificial neural network (ANN) algorithm to predict the flutter derivatives of rectangular section models. Firstly, the ANN model uses the experimental dynamic responses of the section model in smooth flow to train a back-propagation (BP) neural network frame. The flutter derivatives can be determined using weight matrices in the neural network. The second part of this study is to predict the flutter derivatives of the rectangular section models without wind tunnel tests. Based on the given flutter derivatives of the rectangular section models tested in wind tunnel, the prediction frames
[第一頁][上頁]1[次頁][最末頁]目前在第 1 頁 / 共有 01 筆查詢結果