1 |
V. Rouss, W. Charon, and G. Cirrincione, "Neural model of the dynamic behaviour of a non-linear mechanical system," Mechanical Systems and Signal Processing, Vol 23, pp. 1145-1159, 2009.
DOI
|
2 |
A. G. Ivahnenko, "Polynomial theory of complex systems," IEEE Trans. on Systems, Man and Cybernetics, Vol. SMC-1, pp. 364-378, 1971.
DOI
|
3 |
S. K. Oh and W. Pedrycz, "The Design of Self-Organizing Polynomial Neural Networks,"Information Sciences, Vol. 141, pp. 237-258, 2002.
DOI
|
4 |
S. K. Oh, T. C. Ahn, and W. Pedrycz, "Fuzzy Polynomial Neural Networks-Based Structure and Its Application to Nonlinear Process Systems," 7th IFSA World Conference, Vol. 2, pp. 495-499, 1997.
|
5 |
Ho-Sung Park, Ki-Sang Kim, Sung-Kwun Oh "Design of Particle Swarm Optimization-based Polynomial Neural Networks"THE TRANSACTION OF THE KOREAN INSTITUTE OF ELECTRICAL ENGINEERS 60(2), 2011.2, 398-406
DOI
|
6 |
AE Hoerl, RW Kennard. "Ridge regression: Biased estimation for nonorthogonal problems", Technometrics, Vol. 12, No. 1, p. 55-67, 1970
DOI
|
7 |
A. N. Tikhonov, and V. Y. "Arsenin, solution of ill-posed problems.", Washington: Winston & Sons, 1977
|
8 |
Q. Fan, J,. M. Zurada, W. Wu, "Convergence of online gradient method for feedforward neural networks with smoothing L1/L2 regylarization penalty", Neurocomputing, Vol 131, pp. 208-216, 2014
DOI
|
9 |
Y. H. Pyo, K. H. Lee, K. H. You, "Earthquake magnitude estimation using Recursive Least Squares", IEEE International Conference on Cloud Computing and Big Data, pp. 394-397, 2016
|
10 |
H. S. Park, Y, H. Jin, S. K Oh, "Evolutionary Design of Radial Basis Function-based Polynomial Neural Network with the aid of Information Granulation", The Tr.nsactions of Korean Institute of Electrical Engineers, Vol. 60, No. 4, pp. 862-870, 2011.
DOI
|
11 |
S. K. Oh, W. D. Kim, H. S. Park, M. H. Son, "Identification Methodology of FCM-based Fuzzy Model Using Particle Swarm Optimization", The Transactions of Korean Institute of Electrical Engineers, Vol. 60, No. 1, pp. 184-192, 2011.
DOI
|
12 |
S. K. Oh, Y. H. Kim, H. S. Park, J. T. Kim, "Design of Data-centroid Radial Basis Function Neural Network with Extended Polynomial Type and Its Optimization", The Transactions of Korean Institute of Electrical Engineers, Vol. 60, No. 3, pp. 639-647, 2011.
DOI
|
13 |
L. P. Maguire, B. Roche, T. M. McGinnity, L. J. McDaid, "Predicting a chaotic time series using a fuzzy neural network", Information Science, Vol. 112, pp. 125-136, 1998.
DOI
|