**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**32856

##### Application of Extreme Learning Machine Method for Time Series Analysis

**Authors:**
Rampal Singh,
S. Balasundaram

**Abstract:**

**Keywords:**
Chaotic time series,
Extreme learning machine,
Generalization performance.

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1078657

**References:**

[1] P. J. Brockwell and R. A. Davis, "Introduction to Time Series Forecasting", 2nd ed., Springer, Berlin, 2002.

[2] M.Casdagli, "Nonlinear Prediction of Chaotic Time Series", Physica D, 35, (1989), pp. 335-356.

[3] K. Y. Chen and C. H. Wang, "A Hybrid SARIMA and Support Vector Machines for Forecasting the Production Values of the Machinery Industry in Taiwan", Expert Systems with Applications, (2006).

[4] Y. Chen, B.Yang and J.Dong, "Time Series Prediction using a Local Linear Wavelet Neural Network", Neurocomputing, 69 (2006), pp.449- 465.

[5] G. B. Huang, Q. Y. Zhu and C. K. Siew, "Extreme Learning Machine: Theory and Applications", Neurocomputing, 70, (2006), pp.489-501.

[6] R.Malhotra and D.K.Malhotra, "Evaluating Consumer Loans Using Neural Networks", Omega, 31, (2003), pp.83-96.

[7] N.Mani and P.Voumard, "An Optical Character Recognition Using Artificial Neural Network", IEEE Int. Conf. on Systems, Man, and Cybernetics, Vol. 3, (1996), pp.2244-2247.

[8] S.Mukherjee, E.Osuna and F.Girosi, "Nonlinear Prediction of Chaotic Time Series Using Support Vector Machines", in Neural Networks for Signal Processing VII, Proceed. of the IEEE Signal Processing Society Workshop, FL, (1997), pp.511-520.

[9] K.R.Muller, A.J.Smola, G.Ratsch, B.Schlkopf and J.Kohlmorgen, "Using Support Vector Machines for Time Series Prediction", in B.Schlkopf, C.J.C. Burges and A.J.Smola (Eds), Advances in Kernel Methods- Support Vector Learning, MIT Press, Cambridge, MA, (1999), pp.243-254.

[10] C.R.Rao and S.K.Mitra, Generalized Inverse of Matrices and its Applications, Wiley, New York, (1971).

[11] H.A.Rowley, S.Baluja and T.Kanade, "Neural Network based Face Detection", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.20, No. 1, (1998), pp.23-38.

[12] Z.Tang, P.A.Fishwick, "Feedforward Neural Nets as Models for Time Series Forecasting", ORSA J. Comput. 5(1993), pp.374-385.

[13] F.E.H.Tay and L.Cao, "Application of Support Vector Machines in Financial Time Series Forecasting", Omega 29 (2001), pp.309-317.

[14] Q.Tong, H.Zheng and X.Wang, "Gene Prediction Algorithm Based on the Statistical Combination and the Classification in terms of Gene Characteristics", Int. Conf. on Neural Networks and Brain, Vol.2, (2005), pp.673 - 677.

[15] T.B.Trafalis, H.Ince, "Support Vector Machine for Regression and Applications to Financial Forecasting", Proceedings of the IEEE INNSENNS Int. Joint Conf., Vol.16, IEEE (2000), pp. 348-353.

[16] F.M.Tseng, H.C.Yu and G.H.Tzeng, "Combining Neural Network Model with Seasonal Time Series ARIMA Model", Technological Forecasting and Social Change, 69 (2002), pp.71-87.

[17] G.P.Zhang, E.B.Patuwo and M.Y.Hu, "A Simulation Study of Artificial Neural Networks for Nonlinear Time Series Forecasting", Comput.Oper.Res. 28,(2001), pp.381-396.

[18] G.P.Zhang, "Time Series Forecasting using a Hybrid ARIMA and Neural Network Model", Neurocomputing, 50, (2003),pp. 159-175.