Rohwer, Richard (1990). The 'moving targets' training algorithm. IN: Advances in Neural Information Processing Systems 1990. 1990-08-29 - 1990-08-31. (Unpublished)
Abstract
A simple method for training the dynamical behavior of a neural network is derived. It is applicable to any training problem in discrete-time networks with arbitrary feedback. The algorithm resembles back-propagation in that an error function is minimized using a gradient-based method, but the optimization is carried out in the hidden part of state space either instead of, or in addition to weight space. Computational results are presented for some simple dynamical training problems, one of which requires response to a signal 100 time steps in the past.
| Divisions: | Aston University (General) |
|---|---|
| Event Title: | Advances in Neural Information Processing Systems 1990 |
| Event Type: | Other |
| Event Dates: | 1990-08-29 - 1990-08-31 |
| Uncontrolled Keywords: | dynamical behavior,neural network,error |
| Last Modified: | 14 Mar 2024 08:27 |
| Date Deposited: | 11 Mar 2019 20:32 | PURE Output Type: | Paper |
| Published Date: | 1990 |
| Authors: |
Rohwer, Richard
|
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)