A modified recurrent cascade-correlation network for radar signal pulse detection

A Jordan-style cascade-correlation architecture is developed for radar signal pulse detection. The cascade-correlation learning architecture is modified to facilitate hardware implementation of the network. The network is constructed using only two hidden layers, with nodes added to the layers in a lateral fashion. Comparisons to networks trained using backpropagation and genetic algorithms indicates that the cascade-correlation architecture trains approximately 50 times faster and produces much better generalization.<
>