DocumentCode
3047007
Title
Research on serial grey neural network mode
Author
Zhenhui, Min
Author_Institution
Coll. of Mech. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
Volume
2
fYear
2012
fDate
18-20 May 2012
Firstpage
980
Lastpage
983
Abstract
In view of the traditional grey model adaptive and self learning ability is poor, long-term prediction accuracy is not the ideal situation, on the basis of three precise grey models, BP neural network is introduced, construct the serial grey neural network model, the result of the simulation shows that, the grey neural network model prediction error and relative error does not appear increased gradually, the prediction accuracy is significantly better than the grey model and it is suitable for application.
Keywords
adaptive systems; backpropagation; grey systems; neural nets; unsupervised learning; BP neural network; grey model adaptive ability; long-term prediction accuracy; prediction error; relative error; self learning ability; serial grey neural network mode; Adaptation models; Biological neural networks; Data models; Predictive models; Training; Vectors; grey neural network; grey prediction; model precision; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Measurement, Information and Control (MIC), 2012 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1601-0
Type
conf
DOI
10.1109/MIC.2012.6273440
Filename
6273440
Link To Document