DocumentCode :
527818
Title :
Notice of Retraction
Research on genetic process neural networks and its application in economic prediction
Author :
Li Ge
Author_Institution :
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China
Volume :
4
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1805
Lastpage :
1807
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Genetic process neural network (GPNN) is presented in this paper, after genetic algorithm was introduced into process neural networks. The concrete realization process and learning algorithm are given, and apply it into the prediction of economic time series. Making use of the characteristics of process neural network with time-varied input function, the prediction of economic time series is achieved, and the effectiveness of the model and the algorithm is proved by per capita GDP prediction.
Keywords :
economic indicators; genetic algorithms; neural nets; time series; concrete realization process; economic prediction; economic time series; genetic algorithm; genetic process neural networks; learning algorithm; per capita GDP prediction; Artificial neural networks; Economic indicators; Genetics; Neurons; Time series analysis; Training; economic time series; genetic process neural network; per capita GDP; prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584471
Filename :
5584471
Link To Document :
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