1 March 1994 Unipolar shift-invariant associative Hamming net
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Abstract
A unipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a three-layer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix, the second layer is a winner- take-all layer, and the last layer is a memory-mapping layer. In experiment, a hybrid optical architecture using photorefractive holograms is proposed.
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Francis T. S. Yu, Guowen Lu, Chii-Maw Uang, Shizhuo Yin, Zhongkong Wu, "Unipolar shift-invariant associative Hamming net", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169435; https://doi.org/10.1117/12.169435
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