NEURAL NETS FOR DUAL SUBSPACE PATTERN RECOGNITION METHOD

doi:10.1142/s0129065791000169

NEURAL NETS FOR DUAL SUBSPACE PATTERN RECOGNITION METHOD

2011-11-21

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DOI：10.1142/s0129065791000169

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A new modification of the subspace pattern recognition method, called the dual subspace pattern recognition (DSPR) method, is proposed, and neural network models combining both constrained Hebbian and anti-Hebbian learning rules are developed for implementing the DSPR method. An experimental comparison is made by using our model and a three-layer forward net with backpropagation learning. The results illustrate that our model can outperform the backpropagation model in suitable applications.

NEURAL NETS FOR DUAL SUBSPACE PATTERN RECOGNITION METHOD

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