Unipolar shift-invariant associative Hamming net

Francis T. S. Yu; Guowen Lu; Chii-Maw Uang; Shizhuo Yin; Zhongkong Wu

doi:10.1117/12.169435

1 March 1994 Unipolar shift-invariant associative Hamming net

Francis T. S. Yu, Guowen Lu, Chii-Maw Uang, Shizhuo Yin, Zhongkong Wu

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169435
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Francis T. S. Yu, Guowen Lu, Chii-Maw Uang, Shizhuo Yin, and Zhongkong Wu "Unipolar shift-invariant associative Hamming net", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169435

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