Pattern Recognition Techniques For Use With ²⁵²Cf-Plasma Desorption Mass Spectrometry
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Date
1976
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Abstract
Pattern recognition, as used in this paper, reflects a technique of machine data analysis. In this capacity the machine receives the raw data, processes it for the purpose of separating the important features from the background, and finally makes a decision which it bases on these features. For most purposes the decision is categorical (i.e. does compound A contain nitrogen?; is a particular peak indicative of an arginine-guanine complex, etc.). Since the author has an independent interest in the application of pattern recognition to the analysis of mass spectrometry data, this vehicle will be used to describe the techniques of applying pattern recognition in the laboratory. It should be kept in mind that these techniques may be applied to any data source that meets or can be made to meet the machine data format.
Description
Program year: 1975/1976
Digitized from print original stored in HDR
Digitized from print original stored in HDR
Keywords
pattern recognition, mass spectrometry data, machine data analysis, ⁵²Cf-Plasma