Optimization of Centrifugal Impeller Using Evolutionary Strategies and Artificial Neural Networks

被引：0
|
作者：
Meier, Rene [1 ]
Joos, Franz [1 ]
机构：
[1] Univ Fed Armed Forces Hamburg, Helmut Schmidt Univ, Lab Turbo Machinery, D-22043 Hamburg, Germany
来源：
ADVANCES IN DATA ANALYSIS, DATA HANDLING AND BUSINESS INTELLIGENCE | 2010年
关键词：
Artificial neural networks; Centrifugal impeller; Evolutionary strategies; Resilient backpropagation;
D O I：
10.1007/978-3-642-01044-6_65
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to optimize turbo machine components it is necessary to describe the behaviour of multimodal objective functions (OF). Instead very time-consuming evaluations using a three-dimensional Navier-Stokes solver have to be performed to get the characteristics of these OF. In this study an Artificial Neural Network (ANN) is considered to use it as a performance predictor with the view to replace the evaluation of the objective function to speed up the optimization process.
引用
收藏
页码：713 / 721
页数：9
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