Name
Abstract | ||
|---|---|---|
This paper deals with an elastomagnetic sensor of a pressure output metrological parameter improving to achieve linear sensor output. The designed solution is based on using neural networks as a universal approximator that enables conversion from sensor output to measured force and suppresses error. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.20965/jaciii.2005.p0372 | JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS |
Keywords | Field | DocType |
sensor measurement, elastomagnetic sensor, neural network, time delay, error reduction | Computer science,Artificial intelligence,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 4 | 1343-0130 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jozef Vojtko | 1 | 0 | 0.68 |
| Irena Kovácová | 2 | 0 | 0.34 |
| Ladislav Madarász | 3 | 1 | 1.72 |
| Dobroslav Kovác | 4 | 0 | 0.34 |