Abstract
A neural network is demonstrated to learn errors generated by a numerical algorithm for solving coupled nonlinear differential equations. Comparisons are made for training the neural network using backpropagation and a new method which is found to converge with fewer iterations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 1992 International Joint Conference on Neural Networks, IJCNN 1992 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 457-461 |
| Number of pages | 5 |
| ISBN (Electronic) | 0780305590 |
| DOIs | |
| State | Published - 1992 |
| Event | 1992 International Joint Conference on Neural Networks, IJCNN 1992 - Baltimore, United States Duration: Jun 7 1992 → Jun 11 1992 |
Publication series
| Name | Proceedings of the International Joint Conference on Neural Networks |
|---|---|
| Volume | 4 |
Conference
| Conference | 1992 International Joint Conference on Neural Networks, IJCNN 1992 |
|---|---|
| Country/Territory | United States |
| City | Baltimore |
| Period | 06/7/92 → 06/11/92 |
Funding
Research sponsored by the Division of Materials Sciences, Office of Basic Energy Sciences, U.S. Department of Energy, under contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc., and Software Technology Branch of NASA
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