On-line backpropagation in two-layered neural networks
- 21 October 1995
- journal article
- Published by IOP Publishing in Journal of Physics A: General Physics
- Vol. 28 (20) , L507-L513
- https://doi.org/10.1088/0305-4470/28/20/002
Abstract
We present an exact analysis of learning a rule by on-line gradient descent in a two-layered neural network with adjustable hidden-to-output weights (backpropagation of error). Results are compared with the training of networks having the same architecture but fixed weights in the second layer.Keywords
This publication has 7 references indexed in Scilit:
- Exact Solution for On-Line Learning in Multilayer Neural NetworksPhysical Review Letters, 1995
- On-line learning in the committee machineJournal of Physics A: General Physics, 1995
- Learning by on-line gradient descentJournal of Physics A: General Physics, 1995
- Backpropagation and stochastic gradient descent methodNeurocomputing, 1993
- The statistical mechanics of learning a ruleReviews of Modern Physics, 1993
- Statistical mechanics of learning from examplesPhysical Review A, 1992
- A Theory of Adaptive Pattern ClassifiersIEEE Transactions on Electronic Computers, 1967