Data processing: artificial intelligence – Neural network – Learning task
Patent
1997-12-15
2000-10-17
Hafiz, Tariq R.
Data processing: artificial intelligence
Neural network
Learning task
706 25, 706 18, 706 26, G06F 1518
Patent
active
061345377
ABSTRACT:
The subject system provides reduced-dimension mapping of pattern data. Mapping is applied through conventional single-hidden-layer feed-forward neural network with non-linear neurons. According to one aspect of the present invention, the system functions to equalize and orthogonalize lower dimensional output signals by reducing the covariance matrix of the output signals to the form of a diagonal matrix or constant times the identity matrix. The present invention allows for visualization of large bodies of complex multidimensional data in a relatively "topologically correct" low-dimension approximation, to reduce randomness associated with other methods of similar purposes, and to keep the mapping computationally efficient at the same time.
REFERENCES:
patent: 5255342 (1993-10-01), Nitta
patent: 5379352 (1995-01-01), Sirat et al.
patent: 5432864 (1995-07-01), Lu et al.
patent: 5687082 (1997-11-01), Rizzoni
patent: 5734796 (1998-03-01), Pao
patent: 5754681 (1998-05-01), Watanabe et al.
patent: 5812992 (1998-09-01), De Vries
patent: 5967995 (1999-10-01), Shusterman et al.
Article: Visualization Of Pattern Data Through Learning Of Non-Linear Variance-Conserving Dimension-Reduction Mapping, by Yoh-Han Pao and Chang-Yun Shen, Pattern Recognition, vol. 30, No. 10, pp. 1705-1717, 1997.
Article: Artificial Neural Networks for Feature Extraction and Multivariate Data Projection, by Jianchang Mao and Anil K. Jain, IEEE Transactions on Neural Networks, vol. 6, No. 2, Mar. 1995.
Abbas, H.M.; Fahmy, M.M., Neural model for Karhunen-Loeve transform with application to adaptive image compression, Communications, Speech and Vision, IEE Proceedings I vol.: 140 Apr. 2, 1993, pp.: 135-143.
Abbas, H.M.; Fahmy, M.M., A neural model for adaptive Karhunen Loeve transformation (KLT), Neural Networks, 1992. IJCNN., International Joint Conference on vol.: 2, 1992, pp.: 975-980 vol. 2, Jan. 1992.
Tayel, M.; Shalaby, H.; Saleh, H., Winner-take-all neural network for visual handwritten character recognition, Radio Science Conference, 1996. NRSC '96., Thirteenth National, 1996, pp.: 239-249, Jan. 1996.
Malki, H.A.; Moghaddamjo, A., Using the Karhunen-Loe've transformation in the back-propagation training algorithm Neural Networks, IEEE Transactions on vol.: 21, Jan. 1991, pp.: 162-165, Jan. 1991.
Meng Zhuo
Pao Yoh-Han
AI Ware, Inc.
Hafiz Tariq R.
Starks Wilbert L.
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