DocumentCode
555174
Title
Construction and application of improved Grey Neural Network model based on Genetic Algorithm
Author
Na Tang ; Zhang De-Jiang
Author_Institution
Inst. of Electr. & Electron. Eng., Chang chun Univ. of Technol., Changchun, China
Volume
1
fYear
2011
fDate
20-22 Aug. 2011
Firstpage
406
Lastpage
408
Abstract
In order to get an improved GM (1, 1), Genetic Algorithm was used to optimize the initial value and the background value of traditional GM (1, 1). Combining the new GM with BP neural network, a tandem Grey Neural Network model was built. The model was used to predict the population of Ji Lin province. The results show that the prediction model has stronger adaptability, better promotion ability and higher precision.
Keywords
backpropagation; demography; genetic algorithms; grey systems; neural nets; social sciences computing; BP neural network; GM (1,1); genetic algorithm; population prediction; promotion ability; tandem grey neural network model; Accuracy; Adaptation models; Differential equations; Fitting; Genetic algorithms; Mathematical model; Predictive models; BP Neural Network; Genetic Algorithm; Improved GM (1, 1);
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location
Chongqing
Print_ISBN
978-1-4244-8622-9
Type
conf
DOI
10.1109/ITAIC.2011.6030233
Filename
6030233
Link To Document