Neural networks for seismic principal components analysis
- 1 January 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 37 (1) , 297-311
- https://doi.org/10.1109/36.739164
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Principal component extraction using recursive least squares learningIEEE Transactions on Neural Networks, 1995
- Optimal unsupervised learning in a single-layer linear feedforward neural networkNeural Networks, 1989
- Neural networks and principal component analysis: Learning from examples without local minimaNeural Networks, 1989
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrixJournal of Mathematical Analysis and Applications, 1985
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982
- The application of principal components analysis to seismic data setsGeoexploration, 1982
- A Fast Karhunen-Loeve Transform for Digital Restoration of Images Degraded by White and Colored NoiseIEEE Transactions on Computers, 1977
- A Fast Karhunen-Loeve Transform for a Class of Random ProcessesIEEE Transactions on Communications, 1976
- Application of the Karhunen-Loève Expansion to Feature Selection and OrderingIEEE Transactions on Computers, 1970
- Analysis of a complex of statistical variables into principal components.Journal of Educational Psychology, 1933