Target recognition using evolutionary neural networks

Author

Filho, Elson Felix Mendes ; De Carvalho, Andre C P L Ferreira

Author_Institution

Comput. Intelligence Lab., Sao Paulo Univ., Brazil

fYear

1998

fDate

9-11 Dec 1998

Firstpage

226

Lastpage

231

Abstract

The work presented here is part of the SAPRI Project-System for Acquisition, Processing and Recognition of Images-which is being developed for the Brazilian Naval Force. This project aims the treatment of radar images, supplying the specification of an environment, which can provide safety sailing and traffic control. This system involves areas like neural networks, image processing and pattern recognition. This paper presents some preliminary results achieved by using an evolutionary approach to optimize MLP network architectures for the target recognition task, using different learning algorithms

Keywords

evolutionary computation; military computing; military radar; multilayer perceptrons; neural net architecture; radar computing; radar imaging; radar target recognition; Brazilian Naval Force; MLP network architecture optimization; SAPRI Project; evolutionary neural networks; image acquisition; image processing; image recognition; learning algorithms; multilayer perceptrons; pattern recognition; radar images; safety; sea traffic control; target recognition; Backpropagation algorithms; Computational intelligence; Decision support systems; Image analysis; Image recognition; Laboratories; Multilayer perceptrons; Neural networks; Pattern recognition; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on

Conference_Location

Belo Horizonte

Print_ISBN

0-8186-8629-4

Type

conf

DOI

10.1109/SBRN.1998.731035

Filename

731035