Name
Abstract | ||
|---|---|---|
This paper presents the estimation of the transmission gains for an AC power line data network in an intelligent home. The estimated gains ensure the transmission reliability and efficiency. A neural-fuzzy network with rule switches is proposed to perform the estimation. An improved genetic algorithm is proposed to tune the parameters and the rules of the proposed neural-fuzzy network. By turning on or off the rule switches, an optimal rule base can be obtained. An application example will be given. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ijar.2003.10.008 | International Journal of Approximate Reasoning |
Keywords | Field | DocType |
rule based | Fuzzy logic,AC power,Artificial intelligence,Mathematics,Genetic algorithm | Journal |
Volume | Issue | ISSN |
36 | 3 | 0888-613X |
Citations | PageRank | References |
2 | 0.41 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. K. Lam | 1 | 3618 | 193.15 |
| S. H. Ling | 2 | 609 | 40.29 |
| F.H.F. Leung | 3 | 17 | 1.97 |
| P.K.S. Tam | 4 | 37 | 3.95 |