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Volume 19 Issue 1
Jan.  1997
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Feng Dazheng, Bao Zheng, Jiao Licheng. A NEW TOTAL PARALLEL NEURAL NETWORK FOR SVD[J]. Journal of Electronics & Information Technology, 1997, 19(1): 17-23.
Citation: Feng Dazheng, Bao Zheng, Jiao Licheng. A NEW TOTAL PARALLEL NEURAL NETWORK FOR SVD[J]. Journal of Electronics & Information Technology, 1997, 19(1): 17-23.

A NEW TOTAL PARALLEL NEURAL NETWORK FOR SVD

  • Received Date: 1994-10-12
  • Rev Recd Date: 1996-04-16
  • Publish Date: 1997-01-19
  • The paper presents a total parallell neural network for real-tune computation of SVD. Its boundedness and stability of the dynamical system are studied. Computer simulation is also given. The results of the theoretical analysis and simulation illustate that this neural network is feasible and efficient for SVD.
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  • Golub G H, Van C F. Matrix Computations. Baltimore, MD: The Johns Hopkins University Press, 1989, 200-300.[2]Deprettere E F. ed, SVD and Signal Processing. North-Holland, Amsterden: 1988, 1-75.[3]Hopfield J J, Tank D W. Neural computation of decisions in optimization problems. Biol. Cybern, 1985, 52(2): 141-152.[4]Kennedy MP, Chua L O. Neural networks for nonlinear programming. IEEE Trans. on CAS, 1988, CAS-35(5): 554-562.[5]Oja E. A simplified neuron model as a principal component analyzer. J. Math. Biology. 1982, 15(1): 267-273.[6]Oja E. Principal components, minor components and linear neural networks[J].Neural Networks.1992, 5(6):927-935[7]Yuile A L, Kammen D M, Cohen D S. Quadrature and the development of orienation selective cortical cells by Hebb rules[J].Bio. Cybern.1989, 61(2):183-194[8]Cichocki A. Neural networks for singular value decompsition[J].Electron. Lett.1992, 28(8):784-786
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