We have employed information theory techniques to simplify the identification task of ANNs for large and complex databases. These techniques pre-process the spectrum before it is seen by the ANN. One technique that has emerged from this work is called """"""""frequency-information transformation"""""""" (FIT). We have shown that FIT significantly simplifies the classification task for the database of 1H-NMR spectra of xyloglucan oligosaccharides by eliminating the large amount of information contained in 1H-NMR spectra that is irrelevant for classification purposes. However, the technique needs further development in order to be applied to larger databases such as the 1H-NMR spectral database of N-linked oligosaccharides. We have applied for separate NIH funding for this project as an RO1. A manuscript is in preparation describing this work.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR005351-13
Application #
6493634
Study Section
Project Start
2001-08-01
Project End
2002-07-31
Budget Start
Budget End
Support Year
13
Fiscal Year
2001
Total Cost
$288,015
Indirect Cost
Name
University of Georgia
Department
Type
DUNS #
City
Athens
State
GA
Country
United States
Zip Code
30602
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