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Complex Functional Network Hebbian-Type Learning Algorithm and Convergence

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 93))

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Abstract

In this paper, functional network have been extension complex value situations, a complex value functional network Hebbian-type learning algorithm for training a complex neural network whose inputs, outputs and functional parameter are all complex was proposed, this algorithm based on the TLS criterion, rather than common LS or LMS. Finally, the complex functional network Hebbian neuron learning algorithm of convergence is proved that the purpose of complex functional network application provides theory basis.

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© 2010 Springer-Verlag Berlin Heidelberg

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Zhou, Y., Du, Y., Huang, Z. (2010). Complex Functional Network Hebbian-Type Learning Algorithm and Convergence. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_1

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  • DOI: https://doi.org/10.1007/978-3-642-14831-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14830-9

  • Online ISBN: 978-3-642-14831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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