Abstract
In this paper, we propose an improved version of local search learning for a fuzzy controller network. Local search learning has a reputation for fast convergence and straightforward. However premature convergence makes it unsuitable for optimization problems. Comparison with temporal back propagation and canonical local search showed that the proposed method converges faster and is suitable for fuzzy controller problem.
| Original language | English |
|---|---|
| Pages (from-to) | 1101-1113 |
| Number of pages | 13 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 5 |
| Issue number | 4 |
| State | Published - 2009/04 |
Keywords
- Back propagation
- Fuzzy controller
- Local search
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics