AN OPTIMIZATION METHOD FOR THE TOPOLOGICAL STRUCTURES OF FEED-FORWARD MULTI-LAYER NEURAL NETWORKS
โ Scribed by GAO DAQI; WU SHOUYI
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 123 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0031-3203
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๐ SIMILAR VOLUMES
Design optimization using approximations based on feed-forward back-propagation neural network is the topic of much recent research. The neural network schemes that have been proposed in the literature for optimal design of structural systems differ in their architecture and training procedures. Fur
In the companion paper the neural network training procedures used in the present evaluation were described in detail. Also, in the companion paper, two new training methods that used the derivative information to build global approximations, and a mixed local-global approximation scheme were propos