Title :
Automatic classification of mass spectra by means of digital learning nets
Author :
Stonham, T.J. ; Aleksander, I. ; Camp, M. ; Shaw, Michele A. ; Pike, W.T.
Author_Institution :
University of Kent at Canterbury, Electronics Laboratories, Canterbury, UK
Abstract :
The method of pattern recognition by means of s.l.a.m. (stored-logic adaptive modules) has been applied to the automatic classification of mass spectra into broad chemical groups, with zero-error results.
Keywords :
classification; learning systems; mass spectra; pattern recognition; automatic classification; chemical groups; classification; learning systems; mass spectra; pattern recognition; stored logic adaptive modules;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19730290
