Title :
Pseudo-inverse with increasing threshold: an error-recovery pattern recognition algorithm
Author :
Chao, Daniel Y. ; Wang, David T.
Author_Institution :
Dept. of Comput. & Inf. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
A pseudo-inverse algorithm with an increasing threshold value for pattern recognition is presented. This method is particularly useful when the original matrix is not a square matrix. The algorithm and its implementation are studied. Using English capital letters as samples, the error-recovery capability of the proposed algorithm is observed to be better than that of the fixed threshold algorithm. Noisy patterns with 20% errors, i.e., 12 in Hamming distance, can be recognized using this approach
Keywords :
character recognition; neural nets; English capital letters; error-recovery pattern recognition algorithm; pseudo-inverse algorithm; threshold value; Chaos; Computer errors; Ferroelectric materials; Hebbian theory; Information science; Liquid crystal devices; Neural networks; Optical devices; Pattern classification; Pattern recognition;
Conference_Titel :
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location :
Rostov-on-Don
Print_ISBN :
0-7803-0809-3
DOI :
10.1109/RNNS.1992.268541
