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Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation

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Artificial Neural Networks and Machine Learning – ICANN 2011 (ICANN 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6792))

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Abstract

Usually, the back-propagation learning rule is widely used for complex-valued neural networks as well. On the other hand, in this paper, learning rule for complex-valued neural networks using the simultaneous perturbation optimization method is proposed. Comparison between the back-propagation method and the proposed.simultaneous perturbation learning rule is made for some test problems. Simplicity of the proposed method results in faster learning speed.

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© 2011 Springer-Verlag Berlin Heidelberg

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Maeda, Y., Yamada, T., Miyoshi, S., Hikawa, H. (2011). Learning Scheme for Complex Neural Networks Using Simultaneous Perturbation. In: Honkela, T., Duch, W., Girolami, M., Kaski, S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2011. ICANN 2011. Lecture Notes in Computer Science, vol 6792. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21738-8_59

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  • DOI: https://doi.org/10.1007/978-3-642-21738-8_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21737-1

  • Online ISBN: 978-3-642-21738-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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