Title :
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
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;
Conference_Titel :
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location :
Belo Horizonte
Print_ISBN :
0-8186-8629-4
DOI :
10.1109/SBRN.1998.731035
