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Extending the decision accuracy of a bioinformatics system

Chong, A., Gedeon, T.D. and Wong, K.W. (2003) Extending the decision accuracy of a bioinformatics system. In: Reznik, L. and Kreinovich, V., (eds.) Soft Computing in Measurement and Information Acquisition: Studies in Fuzziness and Soft Computing Volume 127. Springer Berlin Heidelberg, Heidelberg, pp. 151-163.

Link to Published Version: http://dx.doi.org/10.1007/978-3-540-36216-6_11
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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.

Publication Type: Book Chapter
Murdoch Affiliation: School of Information Technology
Publisher: Springer Berlin Heidelberg
Copyright: © Springer-Verlag Berlin Heidelberg
URI: http://researchrepository.murdoch.edu.au/id/eprint/22801
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