Abstract | ||
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There are many methods for performing neural network inversion. Multi-element evolutionary inversion procedures are capable of finding numerous inversion points simultaneously. Constrained neural network inversion requires that the inversion solution belong to one or more specified constraint sets. In many cases, iterating between the neural network inversion solution and the constraint set can su... |
Year | DOI | Venue |
---|---|---|
1999 | 10.1109/5.784232 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Neural networks,Feedforward neural networks,Training data,Sonar,Power system security,Neurons,Performance analysis,Control systems,Power generation,Multi-layer neural network | Journal | 87 |
Issue | ISSN | Citations |
9 | 0018-9219 | 22 |
PageRank | References | Authors |
2.23 | 11 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
CRAIG A. JENSEN | 1 | 22 | 2.57 |
RUSSELL D. REED | 2 | 22 | 2.23 |
Robert J. Marks II | 3 | 274 | 62.56 |
Mohamed A. El-sharkawi | 4 | 391 | 46.23 |
Jae-Byung Jung | 5 | 22 | 2.91 |
ROBERT T. MIYAMOTO | 6 | 65 | 10.86 |
GREGORY M. ANDERSON | 7 | 22 | 2.23 |
CHRISTIAN J. EGGEN | 8 | 22 | 2.23 |