Book chapter
Extending the decision accuracy of a bioinformatics system
Soft Computing in Measurement and Information Acquisition: Studies in Fuzziness and Soft Computing Volume 127, Vol.127, pp.151-163
Springer Berlin Heidelberg
2003
Abstract
We introduce a simple fuzzy technique to improve the prediction decision accuracy of a bioinformatics neural network system from the literature for protein structure prediction. We also describe an unsound assumption made by the authors of the neural network system, and propose a fuzzy hybrid solution, which eliminates the need for this assumption and can further enhance performance.
Details
- Title
- Extending the decision accuracy of a bioinformatics system
- Authors/Creators
- A. Chong (Author/Creator) - Murdoch UniversityT.D. Gedeon (Author/Creator) - Murdoch UniversityK.W. Wong (Author/Creator) - Murdoch University
- Contributors
- L. Reznik (Editor)V. Kreinovich (Editor)
- Publication Details
- Soft Computing in Measurement and Information Acquisition: Studies in Fuzziness and Soft Computing Volume 127, Vol.127, pp.151-163
- Publisher
- Springer Berlin Heidelberg; Heidelberg
- Identifiers
- 991005545100807891
- Copyright
- © Springer-Verlag Berlin Heidelberg
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Book chapter
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