NDLI: An Algorithm of Characteristic Data Fusion Based on Neural Network Group

Content Provider	IEEE Xplore Digital Library
Author	Chi-Ping Zhang Ping-Yuan Cui Ying-Jun Zhang
Copyright Year	2006
Description	Author affiliation: Dept. of Math., Harbin Inst. of Technol. (Chi-Ping Zhang)
Abstract	There are two kinds of methods to characteristic-degree targets recognition of multi-sensor system, as follows: one is the method based on statistic algorithm; the other one is based on neural network. The primary fault of the former is depending on many assumptions during the process of targets recognition, the latter one cannot deal with the identified problem to the complex multi-sensor system. This paper develops an algorithm, which has both the identified ability of neural network and the advantages of multi-sensor system, i.e. neural network group. This algorithm can both solve the problem of identified targets with great noise and improve the velocity of network. The simulation shows the effectiveness of the algorithm
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2917
Ending Page	2919
File Size	174103
Page Count	3
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Target recognition Space technology Signal to noise ratio Character recognition Machine learning algorithms Mathematics Educational institutions Electronic mail Statistics data fusion Neural network group multi-sensor
Content Type	Text
Resource Type	Article

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