DocumentCode
2552017
Title
A new forecasting model of grey neural network
Author
Lan, Li
Author_Institution
Coll. of Comput. Eng., Qingdao Technol. Univ., Qingdao
fYear
2008
fDate
2-4 July 2008
Firstpage
97
Lastpage
101
Abstract
A new generalized GM(1,1) model based on the traditional GM(1,1) model or GGNNM(1,1) model is presented in this paper. The new forecasting model combines the generalized GM(1,1) model and the theory of neural network. The algorithm is given out to solve this new model. Finally, this new model is applied in forecasting the amount of mine gas emission. The forecasting results show that the GGNNM(1,1) model has the advantages in applicability, high forecasting precision and simple in computing.
Keywords
forecasting theory; grey systems; neural nets; Grey neural network; forecasting model; forecasting precision; generalized model; neural network theory; Neural networks; Predictive models; Forecasting model; Grey models; Grey neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597277
Filename
4597277
Link To Document