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Abstract

Java and Python classes used for data classification based on neural networks are introduced. This chapter describes several complete examples, starting from data simulation, preparation of data samples for a neural network analysis, neural network training and validation of the outputs. It also introduces Java classes for Bayesian networks and self-organizing maps.

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References

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Correspondence to Sergei V. Chekanov .

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© 2010 Springer-Verlag London Limited

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Chekanov, S.V. (2010). Neural Networks. In: Scientific Data Analysis using Jython Scripting and Java. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84996-287-2_16

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  • DOI: https://doi.org/10.1007/978-1-84996-287-2_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-286-5

  • Online ISBN: 978-1-84996-287-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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