Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy

Details Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy

1994-11-17

arxiv.org/abs/astro-ph/9411071v1

Astronomy and Astrophysics

Astrophysics

9 pages, uu-encoded compressed postscript file. Also available by anonymous ftp to cast0.ast.cam.ac.uk (131.111.68.35) at ft

Scientific paper

10.1016/0083-6656(94)90034-5

We attempt to de-mistify Artificial Neural Networks (ANNs) by considering special cases which are related to other statistical methods common in Astronomy and other fields. In particular we show how ANNs generalise Bayesian methods, multi-parameter fitting, Principal Component Analysis (PCA), Wiener filtering and regularisation methods. Examples of morphological classification of galaxies illustrate how non-linear ANNs improve on linear techniques.

Affiliated with

Also associated with

No associations

Rating

Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Artificial Neural Networks as Non-Linear Extensions of Statistical Methods in Astronomy will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-465598