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Research of nonlinear blind source separation algorithm based on quantum evolutionary neural network

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3 Author(s)
Jun-an Yang ; Dept. of Electron. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China ; Hui Peng ; Zhenquan Zhuang

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