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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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
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