Title :
A modified recurrent cascade-correlation network for radar signal pulse detection
Author :
Karunanithi, N. ; Whitley, D. ; Newman, D.
Author_Institution :
Bellcore, Morristown, NJ, USA
Abstract :
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
Keywords :
backpropagation; correlation methods; genetic algorithms; learning (artificial intelligence); radar signal processing; recurrent neural nets; signal detection; Jordan-style cascade-correlation architecture; backpropagation; genetic algorithms; learning architecture; neural nets; radar signal pulse detection; recurrent cascade-correlation network; Backpropagation algorithms; Computer science; Detectors; Event detection; Frequency; Genetics; Instruments; Radar detection; Signal detection; Testing;
Conference_Titel :
Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
Conference_Location :
Linthicum Heights, MD
Print_ISBN :
0-7803-0928-6
DOI :
10.1109/NNSP.1993.471838
