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2 March 1994 Design of binary serial-coded filters
Ying Liu, Mingzhe Lu, Jianming Zhang, ZhiLiang Fang, Fu-Lai Liu, Guoguang Mu
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Proceedings Volume 2243, Applications of Artificial Neural Networks V; (1994) https://doi.org/10.1117/12.169986
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States
Abstract
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.
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Ying Liu, Mingzhe Lu, Jianming Zhang, ZhiLiang Fang, Fu-Lai Liu, and Guoguang Mu "Design of binary serial-coded filters", Proc. SPIE 2243, Applications of Artificial Neural Networks V, (2 March 1994); https://doi.org/10.1117/12.169986
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KEYWORDS
Target recognition
Neural networks
Binary data
Neurons
Tolerancing
Detection and tracking algorithms
Image filtering
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