摘要:
参考文章(14)
Rafal Zdunek, Shun-ichi Amari, Andrzej Cichocki, Anh Huy Phan, Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation ,(2009)
Janusz Kacprzyk, Neuroeconomics: Yet Another Field Where Rough Sets Can Be Useful? RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing. pp. 1- 12 ,(2008) , 10.1007/978-3-540-88425-5_1
Erkki Oja, Aapo Hyvarinen, Juha Karhunen, Independent Component Analysis ,(2001)
K. Matsuoka, M. Kawamoto, A neural net for blind separation of nonstationary signal sources world congress on computational intelligence. ,vol. 1, pp. 221- 232 ,(1994) , 10.1109/ICNN.1994.374166
Michael D. Goldberg, Edmund S. Phelps, Roman Frydman, Imperfect Knowledge Economics: Exchange Rates and Risk ,(2007)
C Jutten, J Herault, Space or time adaptive signal processing by neural network models AIP Conference Proceedings 151 on Neural Networks for Computing. pp. 206- 211 ,(1987)
Pierre Comon, Christian Jutten, Handbook of Blind Source Separation: Independent Component Analysis and Applications Academic Press. pp. 831- ,(2010)
Daniel D. Lee, H. Sebastian Seung, Learning the parts of objects by non-negative matrix factorization Nature. ,vol. 401, pp. 788- 791 ,(1999) , 10.1038/44565
Christian Jutten, Jeanny Herault, Blind separation of sources, Part 1: an adaptive algorithm based on neuromimetic architecture Signal Processing. ,vol. 24, pp. 1- 10 ,(1991) , 10.1016/0165-1684(91)90079-X
Michael W Berry, Murray Browne, Amy N Langville, V Paul Pauca, Robert J Plemmons, None, Algorithms and applications for approximate nonnegative matrix factorization Computational Statistics & Data Analysis. ,vol. 52, pp. 155- 173 ,(2007) , 10.1016/J.CSDA.2006.11.006