Back to Search
Start Over
Neural Networks for Seismic Principal Components Analysis.
- Source :
-
IEEE Transactions on Geoscience & Remote Sensing . Jan99 Part 1 of 2, Vol. 37 Issue 1, p297. 15p. 1 Black and White Photograph, 2 Diagrams, 1 Chart, 17 Graphs. - Publication Year :
- 1999
-
Abstract
- Shows the extensive computer results of the principal components analysis (PCA) using the neural network of generalized Hebbian algorithm (GHA). Description of the neural network of generalized Hebbian learning rule; Effect of adding one extra point along the direction of existing Eigenvector; Presentation of PCA in seismic ricker wavelet analyses.
- Subjects :
- *PRINCIPAL components analysis
*ARTIFICIAL neural networks
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 37
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 1504613
- Full Text :
- https://doi.org/10.1109/36.739164