NEURAL NETS FOR DUAL SUBSPACE PATTERN RECOGNITION METHOD
Lei Xu, Adam Krzyżak, Erkki Oja · International Journal of Neural Systems · 1991
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.