Supervised Art-II: a new neural network architecture, with quicker learning algorithm, for learning and classifying multivaled input patterns.
Kamal R. Al-Rawi, Consuelo Gonzalo‐Martín, Agueda Arquero · The European Symposium on Artificial Neural Networks · 1999
A new artificial neural network (ANN) architecture for learning and classifying multivalued input patterns has been introduced, called Supervised ART-II. It represents a new supervision approach for ART modules. It is quicker in learning than Supervised ART-I when the number of category nodes is large, and it requires less memory. The architecture, learning, and testing of the newly developed ANN have been discussed.