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Bipolar pattern association using a two-layer feedforward neural network

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3 Author(s)
Hao, J. ; Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium ; Shaohua Tan ; Vandewalle, J.

The authors present a design technique that constructs a two-layer feedforward network for the realization of an arbitrary set of bipolar associations (pi, qi), i-=1, ..., k. The underlying idea is to use a layer of the hard-logic neurons to identify each pi in the winner-take-all fashion. Then, the second layer of the so-called sign neurons picks up the corresponding pattern q i. An important feature of the net is that it can be used as an error-correcting associative memory if the thresholds of the hard-logic-neurons in the first layer are properly adjusted

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Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on  (Volume:40 ,  Issue: 12 )