Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence.
Mohammad Khalili-MalekiRamin Vafaei PoursorkhabiAta Allah NadiriRouzbeh DabiriPublished in: Earth Sci. Informatics (2022)
Keyphrases
- grain size
- artificial intelligence
- spatial distribution
- prediction accuracy
- machine learning
- prediction algorithm
- thin film
- prediction error
- prediction model
- supervised learning
- intelligent systems
- learning algorithm
- intelligent machines
- unsupervised learning
- computational intelligence
- cognitive science
- intelligent agents
- control method
- low cost
- software engineering
- wireless sensor networks
- expert systems
- porous media