References
Zevallos M, Santos B, Hotta L K. A note on influence diagnostics in AR(1) time series models. Journal of Statistical Planning and Inference, 2012, 142(11): 2999–3007
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
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
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
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
Acknowledgement
This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61375063, 51478049, 61773404 and 11301549), in part by the Major Scientific and Technological Special Program of Hunan Province, China (2015GK1001-1).
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Hou, M., Yang, Y., Liu, T. et al. Forecasting time series with optimal neural networks using multi-objective optimization algorithm based on AICc. Front. Comput. Sci. 12, 1261–1263 (2018). https://doi.org/10.1007/s11704-018-8095-8
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DOI: https://doi.org/10.1007/s11704-018-8095-8