DocumentCode
328375
Title
Neural networks for nuclear magnetic resonance spectroscopy
Author
Carrara, Enrico A. ; Pagliari, Franco ; Nicolini, Claudio
Author_Institution
Istituto di Biofisica, Genoa Univ., Italy
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
983
Abstract
The performances of a feedforward artificial neural network trained with backpropagation on the task of peak-picking of nuclear magnetic resonance spectra are probed on experimental spectra of two different proteins. The performances of the network are comparable with those of a human expert.
Keywords
NMR spectroscopy; backpropagation; feedforward neural nets; macromolecules; molecular biophysics; molecular configurations; proteins; backpropagation; feedforward artificial neural network; nuclear magnetic resonance spectroscopy; peak-picking; proteins; Artificial neural networks; Feedforward systems; Humans; Magnetic resonance; Magnetic separation; Neural networks; Nuclear magnetic resonance; Printing; Proteins; Spectroscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714076
Filename
714076
Link To Document