Assessment of artificial neural network to identify compositional differences in ultrahigh-resolution mass spectra acquired from coal mine affected soils

This study assessed the applicability of artificial neural networks (ANNs) as a tool to identify compounds contributing to compositional differences in coal-contaminated soils. An artificial neural network model was constructed from laser desorption ionization ultrahigh-resolution mass spectra obtai...

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Veröffentlicht in:	Talanta (Oxford) 2022-10, Vol.248, p.123623-123623, Article 123623
Hauptverfasser:	Solihat, Nissa Nurfajrin, Son, Seungwoo, Williams, Elizabeth K., Ricker, Matthew C., Plante, Alain F., Kim, Sunghwan
Format:	Artikel
Sprache:	eng
Schlagworte:	FT-ICR MS Natural organic matter Neural network Soil Weight
Online-Zugang:	Volltext
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