Support Vector Fuzzy Based Neural Networks For Exchange Rate Modeling

Authors: Prof. Chokri SLIM

Abstract:

A Novel fuzzy neural network combining with support vector learning mechanism called support-vector-based fuzzy neural networks (SVBFNN) is proposed. The SVBFNN combine the capability of minimizing the empirical risk (training error) and expected risk (testing error) of support vector learning in high dimensional data spaces and the efficient human-like reasoning of FNN.

Keywords: Neural network, fuzzy inference, machine learning, fuzzy modeling and rule extraction, support vector regression.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075763

References:

[1] L. A. Zadeh, "The concept of linguistic variable and its application to approximate reasoning," Inform. Sci., vol. 8, pp. 199-249, 1975.
[2] H. Tanaka, S. Uejima, and K. Asai, "Linear regression analysis with fuzzy model," IEEE. Trans. On Syst., Man, and Cyber., vol. 12, no. 6, pp. 903-907, 1982.
[3] H. Tanaka and H. Lee, "Interval regression analysis by quadratic programming approach," IEEE Trans. on Fuzzy Systems, vol. 6, no. 4, pp. 473-481, 1998.
[4] Vapnik, The Nature of Statistical Learning Theory. Springer-Verlag, New York, 1995.
[5] C. Cortes, and V. N. Vapnik, "Support vector network," Machine learning, vol. 20, pp. 1-25, 1995.
[6] C.J.C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, pp. 955-974, 1998.
[7] C. -F. Lin and S. -D. Wang, "Fuzzy support vector machines," IEEE Transactions on Neural Networks, vol. 13, no. 2, pp. 464-471, Mar. 2002.
[8] H.-P. Huang and Y.-H. Liu, "Fuzzy support vector machines for pattern recognition and data mining," International Journal of Fuzzy Systems, vol. 4, no. 3, pp. 826-835, Sep. 2002.
[9] M.J. Reid, Combining three estimates of gross domestic product, Economica 35 (1968) 431-444.
[10] C Slim (2009) : Hybrid Approach in Neural Network design Applied to Financial Time Series Forecasting, The Journal of American Academy of Business Cambridge, Vol. 15, Num. 1,September 2009, 294-300.
[11] C. Slim (2007) : Fuzzy Neural Model for Bankruptcy Prediction, The Journal of Business Review Cambridge, Vol. 8, Num. 2, December 2007, 117-122.