2011, Vol. 28(11): 110504-110504    DOI: 10.1088/0256-307X/28/11/110504
Predicting Natural and Chaotic Time Series with a Swarm-Optimized Neural Network
Juan A. Lazzús**
Departamento de Física, Universidad de La Serena, Casilla 554, La Serena, Chile
收稿日期 2011-05-31  修回日期 1900-01-01
Supporting info
[1] Han M and Wang Y 2009 Exp. Syst. Appl. 36 1280
[2] Bezruchko B P et al 2001 Phys. Rev. E 64 056216
[3] Farmer J D and Sidorowich J J 1987 Phys. Rev. Lett. 59 845
[4] Zhang J S and Xiao X C 2000 Chin. Phys. Lett. 17 88
[5] Wong F S 1991 Neurocomputing 2 147
[6] Chng E S et al 1996 IEEE Trans. Neural Networks 7 190
[7] Kim D and Kim C 1997 IEEE Trans. Fuzzy Systems 5 523
[8] Jang J S R et al 1997 Neuro-fuzzy and Soft Computing (New Jersey: Prentice-Hall)
[9] Lin D, Wang X 2011 Neurocomputing 74 2241
[10] Fu Y Y et al 2010 Exp. Syst. Appl. 37 4441
[11] Cho K B and Wang B H 1996 Fuzzy Sets Syst. 83 325
[12] Chen Y et al 2006 Neurocomputing 69 449
[13] Geethanjali M et al 2008 Neurocomputing 71 904
[14] Lazzús J A 2010 Comput. Math. Appl. 60 2260
[15] Kennedy J and Eberhart R 1995 IEEE Int. Conf. Neural Networks 4 1942
[16] Lazzús J A 2009 Int. J. Thermophys. 30 883
[17] Mackey M C and Glass L 1977 Science 197 287
[18] Farmer J D 1982 Physica D 4 336
[19] Mohandes M et al 1998 Renew. Energy 14 179
[20] Sözen A et al 2004 Energy Convers. Manag. 45 3033
[21] Rehman S and Mohandes M 2008 Energy Policy 36 571
[22] Lazzús J A et al 2011 Appl. Solar Energy 47 66