From image processing to classification: IV. Classification of electrophoretic patterns by neural networks and statistical methods enable quality assessment of wheat varieties for breadmaking-Reference-Cited by-同舟云学术

From image processing to classification: IV. Classification of electrophoretic patterns by neural networks and statistical methods enable quality assessment of wheat varieties for breadmaking

Published:1996 Issue:4 Volume:17 Page:694-698
ISSN:0173-0835
Container-title:Electrophoresis
language:en
Short-container-title:Electrophoresis

Author:

Jensen Kristen,Kesmir Can,Søndergaard Ib

Publisher

Wiley

Subject

Clinical Biochemistry,Biochemistry,Analytical Chemistry

Reference26 articles.

1. From image processing to classification: II. Classification of electrophoretic patterns using self-organizing feature maps and feed-forward neural networks

2. Classification of wheat varieties by isoelectric focusing patterns of gliadins and neural network

3. From image processing to classification: I. Modeling disturbances of isoelectric focusing patterns

4. Identification of a high-molecular-weight subunit of glutenin whose presence correlates with bread-making quality in wheats of related pedigree

5. Correlations between the inheritance of certain high-molecular weight subunits of glutenin and bread-making quality in progenies of six crosses of bread wheat

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