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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© 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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