Name
Abstract | ||
|---|---|---|
An unscented Kalman filter can be applied for the experimental learning of the solar dryer for oranges drying and the greenhouse for crop growth to know better the processes and to improve their performances. The contributions of this document are: a) an unscented Kalman filter is designed for the learning of nonlinear functions, b) the unscented Kalman filter is applied for the experimental learning of the two mentioned processes. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/JIFS-190216 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Unscented Kalman filter,greenhouse,solar dryer,experimental learning | Control engineering,Greenhouse,Kalman filter,Artificial intelligence,Machine learning,Mathematics,Solar dryer | Journal |
Volume | Issue | ISSN |
37 | 5.0 | 1064-1246 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| José De Jesús Rubio | 1 | 574 | 36.29 |
| Enrique García | 2 | 1 | 0.35 |
| Genaro Ochoa | 3 | 10 | 1.85 |
| Israel Elias | 4 | 19 | 1.77 |
| David Ricardo Cruz | 5 | 19 | 2.45 |
| Ricardo Balcazar | 6 | 2 | 0.70 |
| Jesús López-Herce | 7 | 6 | 2.40 |
| Juan Francisco Novoa | 8 | 1 | 0.35 |