- Abstract:
-
Response surface models (RSMs) have found widespread use to reduce the overall computational cost of turbomachinery blading design optimization. Recent developments have seen the successful use of gradient information alongside sampled response values in building accurate response surfaces. This paper describes the use of gradients to enhance the performance of the RSM provided by a multi-layer perceptron. Gradient information is included in the perceptron by modifying the error function such...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1002/fld.1967
-
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- Journal:
- INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- Volume:
- 61
- Issue:
- 6
- Pages:
- 591-605
- Publication date:
- 2009-10-30
- DOI:
- EISSN:
-
1097-0363
- ISSN:
-
0271-2091
- URN:
-
uuid:7aa24d37-23a7-417c-93a2-d7745e13cf49
- Source identifiers:
-
298421
- Local pid:
- pubs:298421
- Language:
- English
- Keywords:
- Copyright date:
- 2009
Journal article
Multi-objective turbomachinery optimization using a gradient-enhanced multi-layer perceptron
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