We have been able to simulate the anomeric region of the 1H-NMR spectra of xyloglucans as a model to overcome the difficulty of obtaining sufficient spectra to train a neural network search engine. Such simulated spectra are particularly useful in situations where insufficient real spectra are available to train a neural network search engine. In such cases, if certain peak information about the anomeric region of spectra is available for all compounds in a particular database, we can then simulate this region of the spectra and train the neural networks with these simulated spectra.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR005351-08
Application #
5225013
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
8
Fiscal Year
1996
Total Cost
Indirect Cost
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