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
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);
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030233
