Conference paper
The application of artificial neural networks to the classification of Australian wheat varieties
Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation, pp.822-825
IEEE
Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering (Beijing, China, 19/10/1993–21/10/1993)
1993
Abstract
This paper reports the results obtained from the application of artificial neural networks to the Australian wheat variety classification problem. A 'HyperSAB' network with a self adaptive acceleration strategy for the error back propagation learning has been developed. This has been applied to six different Australian wheat varieties with 200 samples in each case. The results indicate that the artificial neural network has some potential to be used as an identification tool in this problem.
Details
- Title
- The application of artificial neural networks to the classification of Australian wheat varieties
- Authors/Creators
- C.C. Fung (Author/Creator) - Curtin UniversityT.A. Vuori (Author/Creator) - Curtin UniversityN.R. Belford (Author/Creator) - Curtin UniversityW.A. Fakhri (Author/Creator) - Curtin UniversityD.G. Myers (Author/Creator) - Curtin University
- Publication Details
- Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation, pp.822-825
- Conference
- Proceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering (Beijing, China, 19/10/1993–21/10/1993)
- Publisher
- IEEE
- Identifiers
- 991005540777707891
- Copyright
- © 1993 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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