A unipolar shift-invariant associative hamming net

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

Research output: Contribution to journalConference articlepeer-review


Aunipolar shift-invariant associative Hamming net is described in this paper. The proposed Hamming net is a threelayer neural network, in which the first layer is a shift-invariant Hamming layer using unipolar interconnection weight matrix (IWM), 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.

Original languageEnglish (US)
Pages (from-to)294-301
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Mar 1 1994
EventOptical Pattern Recognition V 1994 - Orlando, United States
Duration: Apr 4 1994Apr 8 1994

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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