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Design and training of multilayer discrete time cellular neural networks for antipersonnel mine detection using genetic algorithms

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4 Author(s)
Lopez, P. ; Dept. of Electron. & Comput. Sci., Santiago de Compostela Univ., Spain ; Balsi, M. ; Vilarino, D.L. ; Cabello, D.

In this work we present a novel strategy for the simultaneous design and training of multilayer discrete-time cellular neural networks. This methodology is applied to the detection of surface-laid antipersonnel mines in infrared imaging. The procedure is based on the application of genetic algorithms for both network design and learning task

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Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

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