Conference paper
An intelligent data analysis approach using self-organising Maps
ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), Vol.1, pp.735-738b
IEEE
Proceedings of the 6th International Conference on Neural Information Processing ICONIP’99 (Perth, Western Australia, 16/11/1999–20/11/1999)
1999
Abstract
A neural network-based data analysis model for the prediction and classification of field data has many attractions. However, there are problems in ensuring the generalisation capability of the data analysis model, in measuring the similarity between the original training data and the new unknown data and in processing large data volumes. This paper reports the use of self-organising maps (SOM) to overcome these difficulties and illustrates the utilisation of this approach though applications in the agricultural, resource exploration and mineral processing areas
Details
- Title
- An intelligent data analysis approach using self-organising Maps
- Authors/Creators
- C.C. Fung (Author/Creator) - Curtin UniversityK.W. Wong (Author/Creator)D. Myers (Author/Creator)
- Publication Details
- ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378), Vol.1, pp.735-738b
- Conference
- Proceedings of the 6th International Conference on Neural Information Processing ICONIP’99 (Perth, Western Australia, 16/11/1999–20/11/1999)
- Publisher
- IEEE
- Identifiers
- 991005540009207891
- Copyright
- © 1999 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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