Gradient-enhanced neural network response surface approximations

8th Symposium on Multidisciplinary Analysis and Optimization

Volumn , Issue , 2000, Pages

  Liu, Weiyu ^a   Batill, S M ^a  

^a University of Notre Dame   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

NETWORK ARCHITECTURE; NEURAL NETWORKS;

APPROXIMATE GRADIENT; LEVENBERG-MARQUARDT; NETWORK RESPONSE SURFACE; NEURAL NETWORK TRAINING; RESPONSE SURFACE; RESPONSE SURFACE APPROXIMATION;

SURFACE PROPERTIES;

EID: 85083539761     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2000-4923     Document Type: Conference Paper

References (11)

1. th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Panama City, Florida, September 1994.
2. th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, AIAA Paper 96-2311, Salt Lake City, Utah, April 1996.
3. M. Stelmack and S.M. Batill. Neural Network Approximations of Mixed Continuous/Discrete Systems in Multidisciplinary Design. AIAA Paper 98-0916, AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1998.
4. M. Stelmack, Nakishima N., and S.M. Batill. Genetic Algorithms for Mixed Discrete/Continuous Optimization in Multidisciplinary Design. AIAA Paper 98-2033, 38th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Long Beach, California, April 1998.
5. J. Barthelemy and L.E. Hall. Automatic Differentiation as a Tool in Engineering Design. 4th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Cleveland, Ohio, September 1992.
6. th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 1988.
7. th AIAA/NASA/USAF/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Bellevue, Washington, September 1996
8. Weiyu Liu. Gradient-enhanced Response Surface Approximations Using Neural Networks Training. M.S. Thesis, University of Notre Dame, 2000.
9. D.W. Marquardt. An Algorithm for Least-Squares Estimation of Nonlinear Parameters. Journal of the Society for Industrial and Applied Mathematics, 11:431-441, 1963.
10. M.T. Hagan and M.B. Menhaj. Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions on Neural Networks, 5(6):989-993, 1994.
11. J.M. Zurada. Introduction to Artificial Neural Systems. PWS Publishing Company, 1992.