Spectra data classification with kernel extreme learning machine
Sign Up to like & getrecommendations! Published in 2019 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2019.103815
Abstract: Abstract One of the most important issues in chemometrics is how to design a robust classifier for spectra data with high classification accuracy. Extreme learning machine (ELM) has proved to be an effective method for… read more here.
Keywords: spectra data; learning machine; data classification; classification ... See more keywords
Extension of M Dwarf Spectra Based on Adversarial AutoEncoder
Sign Up to like & getrecommendations! Published in 2021 at "Universe"
DOI: 10.3390/universe7090326
Abstract: M dwarfs are main sequence stars and they exist in all stages of galaxy evolution. As the living fossils of cosmic evolution, the study of M dwarfs is of great significance to the understanding of… read more here.
Keywords: adversarial autoencoder; dwarf spectra; autoencoder; spectra data ... See more keywords