Title :
The GLS learning algorithm for multilayer neural network
Author :
Pavlica, Vladimir ; Erdeljan, Aleksandar
Author_Institution :
Dept. of Electr. Eng., Novi Sad Univ., Serbia
Abstract :
A new learning algorithm for multilayer neural networks is introduced. The algorithm merges the gradient technique and least squares technique. The presented algorithm is compared with backpropagation learning rule on the parity problem. Simulation results are presented
Keywords :
learning (artificial intelligence); least squares approximations; multilayer perceptrons; GLS learning algorithm; backpropagation learning rule; gradient least squares learning algorithm; gradient technique; least squares technique; multilayer neural network; Artificial neural networks; Distributed processing; Image processing; Least squares methods; Motor drives; Multi-layer neural network; Natural languages; Neural networks; Neurons; Speech processing;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488171
