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Proceedings Paper

Ship's classification by its magnetic signature: a neuro-genetic approach
Author(s): Joao Alberto Arantes do Amaral; Pedro Laureano Botelho; Nelson F. F. Ebecken; A. E. Xavier; L. P. Caloba
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Paper Abstract

The ship's classification by its magnetic signatures is of great importance in the development of magnetic sea mines. This work concerns the use of neural network classification system combined with the relevant features method to solve this problem. Alternatively we use genetic algorithm techniques to the train neural network. We compare both approaches in order to find the best characteristics of each one.

Paper Details

Date Published: 18 September 1998
PDF: 8 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323851
Show Author Affiliations
Joao Alberto Arantes do Amaral, Instituto de Pesquisas da Marinha (Brazil)
Pedro Laureano Botelho, Brazilian Navy Research Institute (Brazil)
Nelson F. F. Ebecken, Univ. Federal do Rio de Janeiro (Brazil)
A. E. Xavier, Univ. Federal do Rio de Janeiro (Brazil)
L. P. Caloba, Univ. Federal do Rio de Janeiro (Brazil)

Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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