Title :
The anchored node backpropagation network
Author :
Spizuoco, Joseph A.
Author_Institution :
Dept. of Phys., Shippensburg Univ., PA, USA
Abstract :
Summary form only given, as follows. Simple modifications to a standard backpropagation (BP) network have been made that result in a 90% decrease in training times for an eight input, one hidden layer, feedforward network. Compared to a similar BP network, the modified network is equally good at generalization and is not as sensitive to initial weight settings as measured by its likelihood of becoming trapped in a local minimum
Keywords :
learning systems; neural nets; anchored node backpropagation network; feedforward network; hidden layer; learning systems; neural nets; training times; Adaptive systems; Associative memory; Backpropagation; Electron traps; Magnesium compounds; Network synthesis; Neural networks; Physics; Weight measurement;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155646