References
- P. D'Urso and T. Gastaldi, "An orderwise polynomial regression procedure for fuzzy data," Fuzzy Sets and Systems, Vol. 130, pp. 1-19, 2002. https://doi.org/10.1016/S0165-0114(02)00055-6
- D. H. Hong and C. Hwang, "Support vector fuzzy regression machines," to be appeared in Fuzzy Sets and Systems, 2003.
- T. M. Khoshgoftaar, E. B. AlIen, R. Halstead and G. P. Trio, "Detection of fault-prone software modules during a spiral life cycle," In Proceedings of the International Conference on Software Maintenance, pp. 69-76, Monterey, CA, November 1996. IEEE Computer Society.
- M. J. L. Orr, "Introduction to radial basis function networks," Centre for Cognitive Science Technical Report, U. of Edinburgh, 1996.
- J. A. K. Suykens and J. Vandewalle, "Recurrent least squares support vector machines," IEEE Transactions on Circuits and Systems-I, Vol. 47, No. 7, pp. 1109-1114, 2000. https://doi.org/10.1109/81.855471
- J. A. K. Suykens, "Nonlinear modelling and support vector machines," Proc. of the IEEE International Conference on Instrumentation and Measurement Technology, pp. 287-294, 2001.
- V. N. Vapnik, "Statistical Learning Theory," John Wiley & Sons, New York, 1998.
- Z. Xu, T. M. Khoshgoftaar and E. B. AlIen, "Prediction of software faults using fuzzy nonlinear regression modeling," In Proceedings: Fifth IEEE International Symposium on High-Assurance Systems Engineering, Albuquerque, New Mexico USA, November 2000. IEEE Computer Society.