Abstract
A method for constructing a unipolar interconnection weight matrix (IWM) of the interpattern association (IPA) model is presented. By a search of the redundant interconnection links, a method that removes all negative links is introduced. Since the IWM is unipolar, the difficulty of implementing positive and negative IWM's can be avoided. Computer simulation and experimental results show that the unipolar IWM IPA neural network performs better than the bipolar IWM IPA model.
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