PREDICTION OF ECONOMIC GROWTH RATE OF TUBAN REGENCY WITH ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM ALGORITHM
This research aims to implement and evaluate the accuracy of the Adaptive Neuro Fuzzy Inference System (ANFIS) forward stage method to predict the economic growth rate of the Tuban Regency. In the application of ANFIS, two types of variables are required, namely, input variables which include road l...
Zapisane w:
| Główni autorzy: | , , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Universitas Pattimura
2025-07-01
|
| Seria: | Barekeng |
| Hasła przedmiotowe: | |
| Dostęp online: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17554 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|