A Comparative Study of KBS, ANN and Statistical Clustering Techniques for Unattended Stellar Classification

The purpose of this work is to present a comparative analysis of knowledge-based systems, artificial neural networks and statistical clustering algorithms applied to the classification of low resolution stellar spectra. These techniques were used to classify a sample of approximately 258 optical spe...

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Bibliographische Detailangaben

Hauptverfasser:	Dafonte, Carlos, Rodríguez, Alejandra, Arcay, Bernardino, Carricajo, Iciar, Manteiga, Minia
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Expert System Human Expert Input Pattern Pattern recognition. Digital image processing. Computational geometry Spectral Parameter Spectral Type
Online-Zugang:	Volltext
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