NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment.
Ronay AkYan-Fu LiValeria VitelliEnrico ZioEnrique López DroguettCarlos Magno Couto JacintoPublished in: Expert Syst. Appl. (2013)
Keyphrases
- nsga ii
- trained neural network
- multi objective
- genetic algorithm
- multi objective optimization
- prediction intervals
- evolutionary algorithm
- neural network
- test problems
- back propagation
- optimization problems
- optimization algorithm
- regression model
- fitness function
- neural network model
- rule extraction
- confidence level
- back propagation neural network
- estimation error
- differential evolution
- knapsack problem
- branch and bound algorithm
- optimal solution
- decision making
- wavelet neural network
- linear regression model
- lower bound
- travel time
- metaheuristic
- simulated annealing