Add to ORKGWe are working on a project to automate the multi-parameter classification of stellar spectra using Principal Components Analysis (PCA) and Artificial Neural Networks. We present here the usefulness of PCA as a form of spectral data compression, and our results to date of classification on the MK system
publisherCopyright (c) 2006 Astronomical Society of Japan[Abstract] The Indo-US coude feed stellar s...
We have initiated a project to classify stellar spectra automatically from high-dispersion objective...
We attempt to de-mistify Artificial Neural Networks (ANNs) by considering special cases which are re...
We are working on a project to automate the multi-parameter classification of stellar spectra using ...
Derived from non-linear signal processing strategies common to biological systems, neural network al...
We investigate the application of neural networks to the automation of MK spec- tral classification....
We briefly review the work of the past decade on automated classification of stellar spectra and dis...
We briefly review the work of the past decade on automated classification of stellar spectra and di...
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebul...
We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spect...
New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are...
Classification in astrophysics is a fundamental process, especially when it is necessary to understa...
We are applying various ML/DL techniques for the purpose of stellar spectroscopy. Having already ran...
Abstract: This paper presents a comparative study of the sensibility of knowledge-based systems and ...
With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional m...
publisherCopyright (c) 2006 Astronomical Society of Japan[Abstract] The Indo-US coude feed stellar s...
We have initiated a project to classify stellar spectra automatically from high-dispersion objective...
We attempt to de-mistify Artificial Neural Networks (ANNs) by considering special cases which are re...
We are working on a project to automate the multi-parameter classification of stellar spectra using ...
Derived from non-linear signal processing strategies common to biological systems, neural network al...
We investigate the application of neural networks to the automation of MK spec- tral classification....
We briefly review the work of the past decade on automated classification of stellar spectra and dis...
We briefly review the work of the past decade on automated classification of stellar spectra and di...
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebul...
We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spect...
New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are...
Classification in astrophysics is a fundamental process, especially when it is necessary to understa...
We are applying various ML/DL techniques for the purpose of stellar spectroscopy. Having already ran...
Abstract: This paper presents a comparative study of the sensibility of knowledge-based systems and ...
With the rapid growth in astronomical spectra produced by large sky survey telescopes, traditional m...
publisherCopyright (c) 2006 Astronomical Society of Japan[Abstract] The Indo-US coude feed stellar s...
We have initiated a project to classify stellar spectra automatically from high-dispersion objective...
We attempt to de-mistify Artificial Neural Networks (ANNs) by considering special cases which are re...