Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications
2013
Session Number:B2L-B
Session:
Number:244
Performance of Nonlinear BSS by PSO structure
Takuya Kurihara, Kenya Jin'no,
pp.244-247
Publication Date:
Online ISSN:2188-5079
[1] P. Comon, IEEE Signal Processing, vol. 36, pp.287-314, 1994.
[2] R. Vigaaário, J. Särekä, V. Jousmäki, M. Hämäläinen, and E. Oja, IEEE Trans. Biomed. Eng. , vol. 47, pp. 589-593, 2000.
[3] P. Pajunen, A. Hyvärinen, and J. Karhunen, Proc. Int. Conf. on Neural Information Processing, pp. 1207-1210, Hong Kong, 1996.
[4] H. Lappalainen, and X. Giannakopoulos, Proc. Int. Conf. Artificial Neural Networks, pp. 19-24, 1999
[5] Y. Tan, J. Wang, and J. M. Zurada, IEEE Trans. Neural Networks, vol. 12, pp. 124-134, 2001.
[6] A. Hyvarinen and P. Pajunen, Neural Networks, vol. 12, pp. 429-439, 1999.
[7] S. Sirayanone and R. L. Hardy, Journal of Applied Sciences and Computations Vol. 1, pp. 437-475, 1995.
[8] J. Kennedy, Proc. of IEEE International Conference on Evolutionary Computation, pp. 303-308, 1997.
[9] T. Tsujimoto, T. Shindo, T. Kimura and K. Jin'no, Proc. 2012 IEEE World Congress on Evolutionary Computation, pp. 1526-1531, 2012.