• Computer Science, Medicine
  • Published in
    IEEE Trans. Neural Netw…
    2000
  • DOI:10.1109/72.870039

An efficient learning algorithm for associative memories

@article{Wu2000AnEL,
  title={An efficient learning algorithm for associative memories},
  author={Yingquan Wu and Stella N. Batalama},
  journal={IEEE transactions on neural networks},
  year={2000},
  volume={11 5},
  pages={
          1058-66
        }
}
Associative memories (AMs) can be implemented using networks with or without feedback. In this paper we utilize a two-layer feedforward neural network and propose a new learning algorithm that efficiently implements the association rule of a bipolar AM. The hidden layer of the network employs p neurons where p is the number of prototype patterns. In the first layer, the input pattern activates at most one hidden layer neuron or "winner." In the second layer, the "winner" associates the input… CONTINUE READING

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