一种快速全局优化的神经网络及其在数据融合中的应用

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (743 KB)
Export: BibTeX | EndNote (RIS)

Abstract This paper presents a fast global optimization neural network and applies it to the data fusion. This neural network is based on the global property of genetic algorithm and the high speed property of expectation maximization (EM) algorithm. The simulation results show that this neural network is robust in the data fusion.

Key words： Data fusion Correlation Optimization

Received: 26 March 1998

PACS:	TN-052
	TP391

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors


	Yang Xinxing
	Jiao Licheng

Cite this article:

Yang Xinxing,Jiao Licheng. A FAST GLOBAL OPTIMIZATION NEURAL NETWORK AND ITS APPLICATION TO DATA FUSION[J]. , 1999, 21(6): 820-824 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1999/V21/I6/820