Combined orthogonal vector and pseudo-inverse approach for robust pattern recognition
Document Type
Conference Proceeding
Publication Date
1-1-1992
Abstract
A neural-based orthogonal vector with a pseudo-inverse approach for pattern recognition is presented. A method for generating N orthogonal vectors for an N-neuron network is also presented. This approach converges the input to the corresponding orthogonal vector representing the prototype vector. Moreover, it can restore an image to the original image and thus has error recovery capability. Patterns with 20% error were recognized, using English capital latters as an example. The robustness of this approach is obvious.
Identifier
85067336023 (Scopus)
ISBN
[0780308093, 9780780308091]
Publication Title
Proceedings 1992 Rnns IEEE Symposium on Neuroinformatics and Neurocomputers Rnns 1992
External Full Text Location
https://doi.org/10.1109/RNNS.1992.268629
First Page
881
Last Page
887
Recommended Citation
Chao, D. Y. and Wang, D. T., "Combined orthogonal vector and pseudo-inverse approach for robust pattern recognition" (1992). Faculty Publications. 17386.
https://digitalcommons.njit.edu/fac_pubs/17386
