Predictive modeling of Satureja rechingeri essential oil yield and composition under water deficit and soil amendment conditions using artificial neural networks (ANNs).
Amin Taheri-GaravandMojgan BeiranvandiAbdolreza AhmadiNikolaos NikoloudakisPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- using artificial neural networks
- predictive modeling
- artificial neural networks
- porous media
- statistical modeling
- exploratory data analysis
- data mining methods
- data mining
- oil field
- knowledge discovery
- oil production
- machine learning
- business intelligence
- statistical data mining
- neural network model
- data analysis
- survival analysis
- finite element analysis
- big data
- text mining
- friction coefficient
- neural network
- data mining techniques
- data model
- database systems
- image segmentation
- e learning
- information retrieval
- sas enterprise miner