We experiment with three neural network models for forecasting to better understand the performance of neural networks for the case when the data exhibits a long memory pattern. To obtain the optimum networks, the effect of network characteristics such as the tratnhtg parameters, the nmnber of ~ lay
Neural network model of temporal pattern memory
β Scribed by Kenji Doya; Shuji Yoshizawa
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 584 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Neural networks have proved to be useful models of associative memories. After a brief review of the standard Hopfield model we discuss how to introduce some realistic features such as categorization of the stored information and asymmetric synapsis.
## Abstract The temporal area TE of the monkey contains a group of neurons which seems to act as the shortβterm memory by a sustained firing, where the stored information seems to be retained by a certain kind of equilibrium of a dynamical system. The behavior of this group of neurons cannot be acc