A least-square-driven functional networks type-2 fuzzy logic hybrid model for efficient petroleum reservoir properties prediction.
Anifowose FataiJane LabadinAbdulazeez AbdulraheemPublished in: Neural Comput. Appl. (2013)
Keyphrases
- hybrid model
- fuzzy logic
- least squares
- petroleum industry
- artificial neural networks
- forecasting accuracy
- genetic algorithm
- neural network
- prediction accuracy
- hybrid models
- artificial intelligence
- fuzzy sets
- back propagation
- support vector regression
- arima model
- support vector machine
- support vector machine svm
- regression model
- decision making
- back propagation neural network
- real time