Neural network principal components preprocessing and diffraction tomography
β Scribed by Eitan Michael Azoff
- Publisher
- Springer-Verlag
- Year
- 1993
- Tongue
- English
- Weight
- 806 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0941-0643
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π SIMILAR VOLUMES
## Many neural network realizations have been recently proposed for the statistical technique of Principal Component Analysis ( PCA ). Explicit connections between numerical constrained adaptive algorithms and neural networks with constrained Hebbian learning rules art, reviewed. The Stochastic Gr
In recent times, an upsurge of interest in the study of artiΓΏcial neural networks apt to computing a principal component extraction has been observed. The present work is devoted to the description and performance analysis (by means of computer simulations) of some neural networks of such a kind. Th