DocumentCode
328381
Title
BVQ neural network for non-connected service areas satellite coverage plans optimization
Author
Burrascano, Pietro
Author_Institution
INFOCOM Dept., Rome Univ., Italy
Volume
1
fYear
1993
fDate
25-29 Oct. 1993
Firstpage
1011
Abstract
The use of the backpropagation vector quantization neural network, proposed by the author (1992) for the solution of the constrained optimization problem of satellite antenna coverage plans project, is extended to the case of non-connected service areas. The network´s structure and characteristics are described in order to clarify the proposed procedure. The effectiveness of the approach is demonstrated by means of examples.
Keywords
backpropagation; neural nets; optimisation; satellite antennas; vector quantisation; backpropagation vector quantization neural network; constrained optimization problem; nonconnected service areas; satellite antenna; satellite coverage plans optimization; Backpropagation; Constraint optimization; Cost function; Design optimization; Earth; Neural networks; Probability density function; Satellite antennas; Training data; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN
0-7803-1421-2
Type
conf
DOI
10.1109/IJCNN.1993.714083
Filename
714083
Link To Document