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

International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2003, Pages 835-840

  Yang, Jun An ^a   Peng, Hui ^a   Zhuang, Zhenquan ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Multi universe parallel quantum genetic algorithm; Mutual cumulates; Nonlinear blind source separation; Quantum evolutionary neural network; Quantum genetic algorithm

Indexed keywords

BLIND SOURCE SEPARATION; COMPUTER SIMULATION; DATA MINING; GENETIC ALGORITHMS; INVERSE PROBLEMS; LEARNING ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; SIGNAL PROCESSING; STATISTICS; THEOREM PROVING; VECTORS;

MULTI-UNIVERSE PARALLEL QUANTUM GENETIC ALGORITHM; MUTUAL CUMULATES; NONLINEAR BLIND SOURCE SEPARATION; QUANTUM EVOLUTIONARY NEURAL NETWORK; QUANTUM GENETIC ALGORITHM;

SELF ORGANIZING MAPS;

EID: 1542286495     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Herault,J. and Jutten,C. Space or time adaptive signal processing by neural network models. Neural networks for computing: AIP conference proceedings 151, Snowbird, UT, 1986, 206-211
2. Burel, G. Blind separation of sources: a nonlinear neural algorithm. Neural Network, Vol.5,937-947,1992
3. Tan,Y., Wang,J., and Zurada,J.M., Nonlinear blind source separation using a radial basis function network. IEEE Trans. Neural Networks.vol. 12, Jan.2001,134-144
4. Yang H.H., Amari,S., and Cichochi,A., Information-theoretic approach to blind separation of sources in non-linear mixture. Signal Processing 64(1998) 291-300
5. Lee, T.-W., Koehler,B.-U., Blind source separation of nonlinear mixing models. In IEEE Proc. Neural Network and Signal Processing, 1997,406-415
6. Pajunen,P., Hyvärinen,A., and Karhunen,J. Nonlinear blind source separation by self-organizing maps. In Progress in Neural Information Processing:proceedings of the International Conference on Neural Information Processing. New York: Springer-Verlag, 1996, vol.2,1207-1210
7. Hyvarinen,A., and Pajunen,P., Nonlinear Independent Component Analysis: Existence and Uniqueness Results. Neural Network, vol.12,1999,429-439
8. Yang J.-A., Research & Realization of Image Separation Method Based on Independent Component Analysis & Genetic Algorithm, International Congress on Image and Graph 2002(ICIG2002), Hefei, China, 2002, SPIE Press, 575-582
9. Zou Mouyan. Deconvolution and Signal Recovery, BeiJing: Publisher of Defence Industry, p.46-53, 2000.(In Chinese)
10. Han K.-H., Genetic Quantum Algorithm and its Application to Combinatorial Optimization Problem, IEEE Proc. Of the 2000 Congress on Evolutionary Computation, San Diego, USA, July 2000, IEEE Press,1354-1360
11. Yang Jun-an, Zhuang Zhenquan, Research of Quantum Genetic Algorithm and Its Application in Blind Source Separation, Journal of Electronics (China), 2003,20(1),62-68
12. Li Bin, Zhuang Zhenquan, Genetic Algorithm based-on the Quantum Probability Representation, Intelligent Data Engineering and Automated Learning 2002 (IDEAL 2002), Manchester, UK, 2002,Springer-Verlag, 500-505
13. Yang Jun-an, Zhuang Zhenquan. Multi-universe Parallel Quantum Genetic Algorithm. ACTA ELECTRONICA SINICA, In press. (In Chinese)
14. Li Bin, Research of Data Mining Key Algorithms in Finance Time Series, Ph.D. Thesis of USTC, 2001, 7. (In Chinese)