Title :
Study on the Model of CPI Prediction Based on BP Neural Network
Author :
Wang, Hu ; Fan, Gengyao
Author_Institution :
Dept. of Inf. Syst., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Through literature consulting and correlation analysis, this paper selects seven important indicators which have close relation with CPI. Then on the basis of neural network theory and MATLAB neural network toolbox, this paper constructs a CPI prediction model. Finally, by using test samples to make a emulate experiment, the simulation result indicates that the model is feasible and effectual.
Keywords :
backpropagation; correlation methods; neural nets; prediction theory; pricing; BP neural network; CPI prediction model; MATLAB neural network toolbox; consumer price index; correlation analysis; Artificial neural networks; Biological system modeling; Correlation; Mathematical model; Neurons; Predictive models; Training; BP Neural Network; CPI; correlation analysis;
Conference_Titel :
Information Technology and Computer Science (ITCS), 2010 Second International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-1-4244-7293-2
Electronic_ISBN :
978-1-4244-7294-9
DOI :
10.1109/ITCS.2010.147
