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
Modern spectroscopic surveys and automated classifiers are becoming so inextricably linked that it i...
Abstract: This paper presents a comparative study of the sensibility of knowledge-based systems and ...
Information on the spectral types of stars is of great interest in view of the exploitation of space...
We are working on a project to automate the multi-parameter classification of stellar spectra using ...
We investigate the application of neural networks to the automation of MK spec- tral classification....
Derived from non-linear signal processing strategies common to biological systems, neural network al...
We briefly review the work of the past decade on automated classification of stellar spectra and di...
We briefly review the work of the past decade on automated classification of stellar spectra and dis...
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebul...
publisherCopyright (c) 2006 Astronomical Society of Japan[Abstract] The Indo-US coude feed stellar s...
Classification in astrophysics is a fundamental process, especially when it is necessary to understa...
New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are...
We have initiated a project to classify stellar spectra automatically from high-dispersion objective...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
We present a technique which employs artificial neural networks to produce physical parameters for s...
Modern spectroscopic surveys and automated classifiers are becoming so inextricably linked that it i...
Abstract: This paper presents a comparative study of the sensibility of knowledge-based systems and ...
Information on the spectral types of stars is of great interest in view of the exploitation of space...
We are working on a project to automate the multi-parameter classification of stellar spectra using ...
We investigate the application of neural networks to the automation of MK spec- tral classification....
Derived from non-linear signal processing strategies common to biological systems, neural network al...
We briefly review the work of the past decade on automated classification of stellar spectra and di...
We briefly review the work of the past decade on automated classification of stellar spectra and dis...
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebul...
publisherCopyright (c) 2006 Astronomical Society of Japan[Abstract] The Indo-US coude feed stellar s...
Classification in astrophysics is a fundamental process, especially when it is necessary to understa...
New generation large-aperture telescopes, multi-object spectrographs, and large format detectors are...
We have initiated a project to classify stellar spectra automatically from high-dispersion objective...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: ...
We present a technique which employs artificial neural networks to produce physical parameters for s...
Modern spectroscopic surveys and automated classifiers are becoming so inextricably linked that it i...
Abstract: This paper presents a comparative study of the sensibility of knowledge-based systems and ...
Information on the spectral types of stars is of great interest in view of the exploitation of space...