DocumentCode
1421110
Title
Classifying cereal grains using backpropagation and cascade correlation networks
Author
Dolenko, Brion ; Card, Howard ; Neuman, Michael ; Shwedyk, Edward
Author_Institution
Institute for Biodiagnostics, National Research Council of Canada, 435 Ellice Ave., Winnipeg, Man. R3B 1Y6; Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Man. R3T 5V6
Volume
20
Issue
2
fYear
1995
fDate
4/1/1995 12:00:00 AM
Firstpage
91
Lastpage
94
Abstract
This paper presents backpropagation- and cascade correlation-trained artificial neural networks for cereal grain classification. In comparison with a Gaussian classification technique, the neural networks deliver higher classification accuracy and are more attractive for implementation in automated grain inspection systems.
Keywords
Accuracy; Correlation; Image color analysis; Kernel; Logistics; Neurons; Training;
fLanguage
English
Journal_Title
Electrical and Computer Engineering, Canadian Journal of
Publisher
ieee
ISSN
0840-8688
Type
jour
DOI
10.1109/CJECE.1995.7102030
Filename
7102030
Link To Document