
%0 Journal Article
%A Mathews, RJ 
%T Preliminary classification of mass spectral patterns using a simplified learning machine
%J Australian Journal of Chemistry
%D 1973/09/01
%V 26
%N 9
%P 1955-1961
%K 
%R https://doi.org/10.1071/CH9731955
%U https://www.publish.csiro.au/paper/CH9731955 
%X A simplified learning machine technique is presented which is suitable for forming preliminary classification of patterns. This technique allows preliminary compression of data prior to the training process, and generates a reliable classifier even when there are linearly inseparable data in the training set. This method has been used to form an eight-feature pattern classifier which identifies, directly from their mass spectra, compounds of the structure (RO)2P(=X)Y where R is H, Me, or Et; X is O or S; and Y is any functional group. 
