Title :
High-order feedbackward neural networks
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
The learning and recall algorithms of a high-order feedbackward artificial neural network are presented. The new network is fast in learning and the convergence of the procedure is guaranteed. Simulation results on the use of the network as an autoassociator as compared to those of the multilayer feedforward neural networks are included to illustrate the usefulness of the method
Keywords :
convergence; learning systems; neural nets; autoassociator; convergence; high-order feedbackward artificial neural network; learning algorithm; recall algorithms; simulation; Artificial neural networks; Circuits and systems; Convergence; Feedforward neural networks; Multi-layer neural network; Neural networks; Neurofeedback; Neurons; Output feedback; Testing;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184277
