1995 (IPP)

Permanent URI for this collectionhttp://localhost:4000/handle/11007/2812

Browse

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Comparative performance of artificial neural networks for UV spectral classification
    (2015-02-07) Mukherjee, Soma; Bhattacharya, Ujwal; Parui, S.K; Gupta, Ranjan; Gulati, R.K
    In this paper we present an application of an artificial neural network model based on a multi-layered back propagation algorithm for spectral classification of UV data from the International Ultraviolet Explorer (IUE) low dispersion spectra reference atlas. The model used is similar to that of von Rippel et al. (1994), and is found to reduce the classification error as compared to .the recently reported results on the same data set (Gulati et al. 1994b ). The improved version of the network is much simpler in structure and the training time is reduced by a factor of almost 20. Such networks will prove very useful in efficient classification of large databases
  • No Thumbnail Available
    Item
    UV spectrum of λ boo
    (2015-01-25) Gerbaldi, M.; Gulati, R.K; Faraggiana, R.; Kurucz, R.L.
    Abstract. By using stellar computed atmospheric models with ATLAS9 and ATLAS12 codes, we compare fluxes in the ultra-violet domain with the one observed in low dispersion mode of the IUE satellite for the star λ Boo. We derive the chemical abundance of zinc and chromium from high dispersion IUE data by applying spectrum synthesis technique.