By Topic

Target recognition using evolutionary neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
E. F. M. Filho ; Comput. Intelligence Lab., Sao Paulo Univ., Brazil ; A. C. P. L. de Carvalho

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

Published in:

Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on

Date of Conference:

9-11 Dec 1998