Papers Published

1. Bakircioğlu, H; Gelenbe, E; Carin, L, Random neural network recognition of shaped objects in strong clutter, edited by Gerstner, W; Germond, A; Hasler, M; Nicoud, J-D, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1327 (January, 1997), pp. 961-966, SPRINGER [doi] .
   (last updated on 2024/12/31)

   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.

   Keywords:
   neural nets;object recognition;radar clutter;radar target recognition;synthetic aperture radar;