Journal of the Korean Data and Information Science Society
- Volume 8 Issue 2
- /
- Pages.111-118
- /
- 1997
- /
- 1598-9402(pISSN)
Improving Noise Tolerance in Hopfield Networks
- Kim, Young-Tae (Department of Computer Science and Statistics, Iowa State University) ;
- Park, Jeong-Hyun (Department of Computer Science and Statistics, Kwandong University)
- Published : 1997.10.30
Abstract
Adding a noise tolerance factor to the Relaxation learning algorithm in Hop-field network improves noise tolerance without effecting storage capacity. The new algorithm is called the Pseudo-Relaxation algorithm, and the convergence of the algorithm has been proved. It is also shown that the noise tolerance factor does not effect learning speed.