On the relationships between statistical pattern recognition and artificial neural networks

The relationship between pattern classification using statistical decision theory and some feedforward neural networks are examined. The performance of eight networks is compared with that of the k-nearest neighbor decision rule with respect to memory requirements, computation time for classification, training time and adaptation or generalization capability.<>