DocumentCode
288433
Title
A modified backpropagation algorithm
Author
Verma, Bipin Kumar ; Mulawka, J.J.
Author_Institution
Dept. of Fundamental Electron., Warsaw Univ. of Technol.
Volume
2
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
840
Abstract
A long and uncertain training process is one of the most important problems for a multilayer neural network using the backpropagation algorithm. In this paper, a modified backpropagation algorithm for a certain and fast training process is presented. The modification is based on the solving of the weight matrix for the output layer using theory of equations and least squares techniques
Keywords
backpropagation; multilayer perceptrons; least squares techniques; modified backpropagation algorithm; multilayer neural network; output layer; training process; weight matrix; Backpropagation algorithms; Equations; Least squares methods; Multi-layer neural network; Neural networks; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374289
Filename
374289
Link To Document