Synergistic prediction of penetration rate in Boukhadhra mining using regression, design of experiments, fuzzy logic, and artificial neural networks
Mohamed Mebarkia, Asma Abdelmalek, Zoubir Aoulmi, Messaoud Louafi, Abdelhak Tabet, Aissa Benselhoub
| Year of publication: |
2024
|
|---|---|
| Authors: | Mebarkia, Mohamed ; Abdelmalek, Asma ; Aoulmi, Zoubir ; Louafi, Messaoud ; Tabet, Abdelhak ; Benselhoub, Aissa |
| Published in: |
Technology audit and production reserves. - Kharkiv : SPC PC Technology center, ISSN 2706-5448, ZDB-ID 2943943-7. - Vol. 4.2024, 1/78, p. 32-42
|
| Subject: | drilling | mining | rate of penetration | design of experiments | fuzzy logic | artificial neural network | Neuronale Netze | Neural networks | Fuzzy-Set-Theorie | Fuzzy sets | Prognoseverfahren | Forecasting model | Bergbau | Mining | Regressionsanalyse | Regression analysis | Data Mining | Data mining | Expertensystem | Expert system | Künstliche Intelligenz | Artificial intelligence |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.15587/2706-5448.2024.309965 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015078540