PRUNING FEEDFORWARD NEURAL NETWORKS THROUGH INTERVAL ARITHMETIC

Interval arithmetic is used to detect the prunable weights of feedforw ard neural networks. The authors define a regularisation function that can detect irrelevant connections and which contains, as a particular case, the well known weight decay. This method is applied to the mode lling of the Mackey Glass series.