Binary self-coded filters (BSCFs) are easily implemented optically. BSCFs are based on the optimization functions of the Hopfield model by nonsynchronous iterative neuron algorithms. Less filters are needed to carry out the same recognition task, compared with other methods. The error-tolerance ability is also very strong. All target objects can be correctively recognized when the characteristic codes are properly chosen. Starting from different initial states, we can obtain solution close to the overall optimum of the net.

Date Published: 2 March 1994
PDF: 6 pages
Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); doi: 10.1117/12.169986

Published in SPIE Proceedings Vol. 2243:
Applications of Artificial Neural Networks V
Steven K. Rogers; Dennis W. Ruck, Editor(s)