Application of Artificial Neural Networks in Turbomachinery Optimization
The Response surface methodology provides a way to engineering optimization problems of the turbomachinery. Using a prototypical Artificial Neural Networks (ANN) problem, turbomachinery aerodynamic optimization can improve the efficiency and performance. This study explores the approximation of the turbomachinery objective function which has a significant impact on the accuracy and effectiveness of the resulting ANN model. Application of straightforward simulation computation time improved the generalization capability of the ANN model, avoiding the potential problems of over-training or memorization meanwhile.
ANN (Artificial Neural Networks) Aerodynamic Optimization Turbomachinery
Cai Jin Yu Jian-feng Li Yuan Wang zheng
Ministry of Education Key Lab of Contemporary Design & Integrated Manufacturing Technology Northwest Department of Aeroengines Northwestern Polytechnical University Xian 710072
国际会议
厦门
英文
776-781
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）