DocumentCode :
477142
Title :
Macroeconomic forecasting algorithm based on novel adaptive neural network
Author :
Xu, Yu-ge ; Luo, Fei ; Chen, Zhi-ming
Author_Institution :
Coll. of Autom. Sci. & Eng., South China Univ. of Tech., Guangzhou
Volume :
1
fYear :
2008
fDate :
30-31 Aug. 2008
Firstpage :
249
Lastpage :
253
Abstract :
With respect to the existing problems of artificial neural network (ANN) methods for economic modeling and forecasting, an adaptive ANN algorithm is proposed after a brief introduction to the features of macroeconomic system. The training data set of the ANN was enlarged by using a chain style data recombination method first. Then the increasing rates of the input items and the so called time window data were employed as input layer items of the ANN. Simulation results tell that the proposed algorithm can improve the generalization ability and forecasting performance of the ANN model efficiently.
Keywords :
economic forecasting; macroeconomics; neural nets; adaptive neural network; chain style data recombination; economic modeling; macroeconomic forecasting; Adaptive systems; Artificial neural networks; Econometrics; Economic forecasting; Economic indicators; Macroeconomics; Neural networks; Predictive models; Training data; Wavelet analysis; Macroeconomic forecasting; artificial neural network; chain data recombination; time window;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-2238-8
Electronic_ISBN :
978-1-4244-2239-5
Type :
conf
DOI :
10.1109/ICWAPR.2008.4635784
Filename :
4635784
Link To Document :
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