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http://hdl.handle.net/2248/1630
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DC Field | Value | Language |
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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 | - |
dc.format.mimetype | application/pdf | - |
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 |
Appears in Collections: | BASI Publications |
Files in This Item:
File | Description | Size | Format | |
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Paper_4.pdf | 925.24 kB | Adobe PDF | View/Open |
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