Summary
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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Chong, A., Gedeon, T.D., Wong, K.W. (2003). Extending the Decision Accuracy of a Bioinformatics System. In: Reznik, L., Kreinovich, V. (eds) Soft Computing in Measurement and Information Acquisition. Studies in Fuzziness and Soft Computing, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36216-6_11
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DOI: https://doi.org/10.1007/978-3-540-36216-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53509-3
Online ISBN: 978-3-540-36216-6
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