Abstract
After support vector machine multi-class classification algorithms was studied, a kind of improved method of support vector machine for multi-class problems was given in this paper. After experimenting, it is better than one-against-one Method and one-against-the rest Method. This support vector machine for multi-class method saves time and enhances precision of forecast. This improved multi-class method is used to class seismic facies. The precision of forecast is very high.
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Zhu, Y., Zhang, Y., Lin, S., Sun, X., Zhang, Q., Liu, X. (2010). Improved Support Vector Machine Multi-classification Algorithm. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_16
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DOI: https://doi.org/10.1007/978-3-642-16339-5_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16338-8
Online ISBN: 978-3-642-16339-5
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