dc.contributor.author |
Gulati, R. K |
|
dc.contributor.author |
Gupta, R |
|
dc.contributor.author |
Gothoskar, P |
|
dc.contributor.author |
Khobragade, S |
|
dc.date.accessioned |
2007-06-11T05:38:39Z |
|
dc.date.available |
2007-06-11T05:38:39Z |
|
dc.date.issued |
1996 |
|
dc.identifier.citation |
BASI, Vol. 24, No. 1, pp. 21 - 30 |
en |
dc.identifier.uri |
http://hdl.handle.net/2248/1630 |
|
dc.description.abstract |
Scheme based on the artificial neural networks (ANNs) trained with multi-layer back propagation using single level network for classifying ultraviolet spectra in the IUE Low-Dispersion Spectra Reference Atlas is presented. We compare the classification results obtained from single-level network with the one from multi-level neural tree network. Both the schemes could successfully classify the test set of spectra in terms of spectral type as well as luminosity |
en |
dc.format.extent |
947445 bytes |
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dc.format.mimetype |
application/pdf |
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dc.language.iso |
en |
en |
dc.publisher |
Astronomical Society of India |
en |
dc.relation.uri |
http://adsabs.harvard.edu/abs/1996BASI...24...21G |
en |
dc.subject |
Stars |
en |
dc.subject |
Stellar Classification |
en |
dc.subject |
Stellar content |
en |
dc.title |
Classification of ultraviolet stellar spectra using artificial neural networks |
en |
dc.type |
Article |
en |