Document Type

Article

Date

1991

Embargo Period

2011

Keywords

Clustering, Nuclear Magnetic Resonance, Neural networks, Overlapping patterns, Sparse image analysis

Language

English

Disciplines

Computer Sciences

Description/Abstract

We have addressed the problem of analyzing images containing multiple sparse overlapped patterns. This problem arises naturally when analyzing the composition of organic macromolecules using data gathered from their NMR spectra. Using a neural network approach, we have obtained excellent results in using NMR data to analyze the presence of various amino acids in protein molecules. We have achieved high correct classification percentages (about 87%) for images containing as many as five substantially distorted overlapping patterns.

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