## Modeling word perception using the Elman network

- Cheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang
- Neurocomputing
- 2008

1 Excerpt

- Published 2005 in J. Inf. Sci. Eng.

We construct a geometrical perspective to justify the slow learning period and fast learning period during training. We plot the error surfaces and the solution space on the input space for a single neuron with two inputs. We study various training paths on this space when we run the back-propagation (BP) learning algorithm [1]. We display the relation between the learning curve and the training path. We apply this study to correctly and efficiently operate the momentum method [2] to accelerate the training.

@article{Liou2005GeometricalPO,
title={Geometrical Perspective on Learning Behavior},
author={Cheng-Yuan Liou and Jau-Chi Huang and Yen-Ting Kuo},
journal={J. Inf. Sci. Eng.},
year={2005},
volume={21},
pages={721-732}
}