Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks.
Narjes NabipourMajid DehghaniAmir MosaviShahaboddin ShamshirbandPublished in: IEEE Access (2020)
Keyphrases
- short term
- long term
- artificial neural networks
- nature inspired
- forecasting model
- medium term
- optimization problems
- stock market
- load forecasting
- short term and long term
- optimization algorithm
- optimization methods
- metaheuristic
- neural network
- wind power
- combinatorial optimization
- ant colony optimization algorithm
- arima model
- fuzzy logic
- ant colony optimization
- multi objective
- simulated annealing
- computational intelligence