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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (6) : 1261-1263     https://doi.org/10.1007/s11704-018-8095-8
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Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc
Muzhou HOU1(), Yunlei YANG1, Taohua LIU1, Wenping PENG2
1. School of Mathematics and Statistics, Central South University, Changsha 410083, China
2. School of Civil Engineering, Changsha University of Science & Technology, Changsha 410114, China
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Corresponding Authors: Muzhou HOU   
Online First Date: 15 November 2018    Issue Date: 04 December 2018
 Cite this article:   
Muzhou HOU,Yunlei YANG,Taohua LIU, et al. Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc[J]. Front. Comput. Sci., 2018, 12(6): 1261-1263.
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http://journal.hep.com.cn/fcs/EN/10.1007/s11704-018-8095-8
http://journal.hep.com.cn/fcs/EN/Y2018/V12/I6/1261
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Muzhou HOU
Yunlei YANG
Taohua LIU
Wenping PENG
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https://doi.org/10.1016/j.jspi.2012.05.004
2 Cabaña A, Scavino M. Weak convergence of marked empirical processes for focused inference on AR(p) vsAR(p+1) stationary time series. Methodology & Computing in Applied Probability, 2012, 14(3): 793–810
https://doi.org/10.1007/s11009-011-9270-7
3 Zhao Z, Zhang Y, Liao H. Design of ensemble neural network using the Akaike information criterion. Engineering Applications of Artificial Intelligence, 2008, 21(8): 1182–1188
https://doi.org/10.1016/j.engappai.2008.02.007
4 Sugiura N. Further analysts of the data by Akaike’s information criterion and the finite corrections. Communications in Statistics-Theory and Methods, 1978, 7(1): 13–26
https://doi.org/10.1080/03610927808827599
5 Xi L, Hou M, Lee M H, Li J, Wei D, Hai H, Wu Y. A new constructive neural network method for noise processing and its application on stock market prediction. Applied Soft Computing Journal, 2014, 15(2): 57–66
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