DocumentCode
2871250
Title
Fast global optimization neural network and its application in data fusion
Author
Xinxing, Yang ; Licheng, Jiao
Author_Institution
Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume
2
fYear
1998
fDate
1998
Firstpage
1351
Abstract
This paper presents a neural network with a fast global optimization algorithm and its application in the data fusion. This neural network is based on the global property of the genetic algorithm and the high speed property of the expectation maximization (EM) algorithm. Simulation results show the this neural network is of robustness in the data fusion
Keywords
genetic algorithms; learning (artificial intelligence); neural nets; optimisation; sensor fusion; data fusion; expectation maximization algorithm; genetic algorithm; global optimization neural network; global training algorithm; Equations; Feedforward neural networks; Gaussian distribution; Genetic algorithms; Intelligent networks; Multi-layer neural network; Neural networks; Probability; Robustness; Signal processing algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770870
Filename
770870
Link To Document