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Artificial Neural Networks in Incomplete Data Sets Processing

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Intelligent Information Processing and Web Mining

Part of the book series: Advances in Soft Computing ((AINSC,volume 31))

Abstract

This paper presents some results obtained in experiments with artificial neural networks trained with different learning algorithms in case of lack of some data in training and testing sets.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Tkacz, M. (2005). Artificial Neural Networks in Incomplete Data Sets Processing. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_70

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  • DOI: https://doi.org/10.1007/3-540-32392-9_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25056-2

  • Online ISBN: 978-3-540-32392-1

  • eBook Packages: EngineeringEngineering (R0)

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