Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps
Self organizing maps (SOMs) in a supervised mode were applied for prediction of liquid chromatographic retention behavior of chemical compounds based on their quantum chemical information. The proposed algorithm was simple and required only a small alteration of the standard SOM algorithm. The appli...
Saved in:
Main Authors: | Sila Kittiwachana, Sunanta Wangkarn, Kate Grudpan, Richard G. Brereton |
---|---|
Format: | Journal |
Published: |
2018
|
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84873332435&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/48112 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps
by: Sila Kittiwachana, et al.
Published: (2018) -
Prediction of liquid chromatographic retention behavior based on quantum chemical parameters using supervised self organizing maps
by: Kittiwachana S., et al.
Published: (2014) -
Determination of linear alkylbenzene sulfonates in water samples by liquid chromatography-UV detection and confirmation by liquid chromatography-mass spectrometry
by: Sunanta Wangkarn, et al.
Published: (2018) -
Room temperature imidazolium ionic liquid: A solvent for extraction of carbamates prior to liquid chromatographic analysis
by: Jitlada Vichapong, et al.
Published: (2018) -
Chemical Variation and Potential of Kaempferia Oils as Larvicide Against Aedes aegypti
by: Jukreera Panyakaew, et al.
Published: (2018)