Outer product neural network

Details Outer product neural network Outer product neural network

1991-10-01

1994-12-27

Downs, Robert W.

395 21, 395 23, 395 24, G06F 1518

Patent

active

053773055

ABSTRACT:
An outer product neural network provides a predetermined number of processing elements for extracting principal components of an input vector. The residual vector of the network when cascaded into a similar outer product neural network provides additional principal components defining a subspace orthogonal to the subspace defined by the principal components of the first network.

REFERENCES:
patent: 4719591 (1988-01-01), Hopfield et al.
Ballard, D. H., "Modular Learning in Neural Networks", Proceedings AAAI-87, Jul. 1987, 279-284.
Keeler, J. D., "Information Capacity of Outer-Product Neural Networks", Physics Letters, Sep. 1987, 53-58.
Oja et al., "The Subspace Learning Algorithm as a Formalism for Pattern Recognition and Neural Networks", IEEE Conf. Neural Networks, Jul. 1988, I-277-I-284.
Sanger, T. D., "An Optimality Principal for Unsupervised Learning", in Adv. in Neural Info. Processing Systems, vol. 1, 1989, 11-19.
Kramer, M. A., "Nonlinear Principal Component Analysis Using Autoassociative Neural Networks", AICHE Journal, Feb. 1991, 233-243.
Kung, S. Y., "Orthogonal Learning Network for Constrained Principal Component Problems," IJCNN, Jun. 1990, I-441-I-449.
Taur, et al., "Comparison of Several Learning Subspace Methods for Classification", ICASSP 91, May 1991, 1069-1072.
Russo, L. E., "An Outer Product Neural Network for Extracting Principal Components from a Time Series," Neural Networks for Signal Processing, 30 Sep.-1 Oct. 1991, 161-170.

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