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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770870
