Multidimensional statistical analysis using artificial neural networks - Astronomical applications
We present a new method based on artificial neural networks trained with multiseed backpropagation, for displaying an n-dimensional distribution in a projected space of one, two, or three dimensions. As principal component analysis (PCA) the proposed method is useful for extracting information on the structure of the data set, but unlike the PCA
Serra-Ricart, Miquel et al.
Fecha de publicación:
10
1993