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Random neural network recognition of shaped objects in strong clutter

  • Part VI: Speech, Vision, and Pattern Recognition
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

In this paper we propose a neural approach based on the Random Neural Network (RNN) model (Gelenbe 1989, 1990, 1991, 1993 [3, 4, 6, 5]), to detect shaped targets with the help of multiple neural networks whose outputs are combined for making decisions.

This work was supported by the U.S. Army Research Office under Grant No. DAAH04-96-1-0388.

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Bakircioğlu, H., Gelenbe, E., Carin, L. (1997). Random neural network recognition of shaped objects in strong clutter. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020277

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  • DOI: https://doi.org/10.1007/BFb0020277

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

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