Title :
Study of prediction algorithm based on grey neural network GMNN
Author :
Song, Qiang ; Miao, Xiao-peng
Author_Institution :
Mechanical engineering department of Anyang institute of technology, China
Abstract :
In this paper, Grey model (GM) and artificial neural network (ANN) was employed to predict the alkalinity in sintering process. The fluctuation of data sequence is weakened by the grey theory and the neural network is capable of processing non-linear adaptable information, and the GMNN is a combination of those advantages. The result showed that prediction model has good precision and better generalization ability.
Keywords :
Accuracy; Adaptation model; Artificial neural networks; Forecasting; Mathematical model; Object oriented modeling; Predictive models; grey neural network; grey system; prediction accuracy;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691698
