| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322490 | Expert Systems with Applications | 2012 | 6 Pages |
Abstract
⺠We point out two computational bottlenecks in the SOFM-based learning model. ⺠We propose a pruning-based search strategy for finding winning neurons. ⺠We propose a LUT-based lateral update interaction. ⺠Experimental results demonstrate that our proposed method have 35% execution-time improvement ratio in average.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Kuo-Liang Chung, Yong-Huai Huang, Jyun-Pin Wang, Ming-Shao Cheng,