Referenced Items are not available for this document.
This paper analyzes the neural network model and algorithm of nonlinear blind source separation (NBSS) systematically, discusses the existence and uniqueness of solution of NBSS, puts forward a novel NBSS algorithm based on mutual cumulates, and uses multi-universe parallel quantum genetic algorithm (MPQGA) to acquire its optimum solution. The simulation result demonstrates the effectiveness of the algorithm.
Published in:
Machine Learning and Cybernetics, 2003 International Conference on
(Volume:2
)
Date of Conference: 2-5 Nov. 2003
- Page(s):
- 835 - 840 Vol.2
- Print ISBN:
- 0-7803-8131-9
- INSPEC Accession Number:
- 7971570
- Digital Object Identifier :
- 10.1109/ICMLC.2003.1259594
- Product Type:
- Conference Publications
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