Modified backpropagation algorithm for fast learning in neural networks
- 13 September 1990
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 26 (19) , 1564-1566
- https://doi.org/10.1049/el:19901004
Abstract
A fast learning rule for artificial neural systems which is based on modifications to a backpropagation algorithm is described. The rule minimises the error function along the direction of the gradient and backpropagates the error pattern according to a constant error energy approach.Keywords
This publication has 1 reference indexed in Scilit:
- Learning Internal Representations by Error PropagationPublished by Defense Technical Information Center (DTIC) ,1985