Work

On-line learning from restricted training sets in multilayer neural networks

Year: 2000
Type: article
Abstract: We analyse the dynamics of on-line learning in multilayer neural networks where training examples are sampled with repetition and where the number of examples scales with the number of network weights. The analysis is based on monitoring a set of macroscopic variables from which the training and generalisation errors can be calculated. A closed set of dynamical equations is derived using the dynamical replica method and is solved numerically. The theoretical results are consistent with those obtained by computer simulations.
Language: English
Open Access status: bronze
OpenAlex ID: W1991020233
FWCI: 2.409
Cites: 15
Cited by: 12
Related to: 7