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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2003> 12(4): 352-356
XIU Chun-bo, LIU Xiang-dong, ZHANG Yu-he. Multi-Valued Associative Memory Neural Network[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2003, 12(4): 352-356.
Citation: XIU Chun-bo, LIU Xiang-dong, ZHANG Yu-he. Multi-Valued Associative Memory Neural Network[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2003, 12(4): 352-356.
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Multi-Valued Associative Memory Neural Network

  • Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China

  • Received Date:2003-05-30
    Abstract
  • A novel learning method for multi-valued associative memory network is introduced, which is based on Hebb rule, but utilizes more information. According to the current probe vector, the connection weights matrix could be chosen dynamically. Double-valued and multi-valued associative memory are all realized in our simulation experiment. The experimental results show that the method could enhance the associative success rate.
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