Repository files navigation A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
Code
https://github.com/aiir-team/physics_MLP-monthly-streamflow-code
Paper:
https://doi.org/10.1016/j.asoc.2021.107282
MLP (Streamflow forecasting using artificial neural network and support vector machine models)
RNN (https://doi.org/10.1007/s11600-019-00330-1 )
GA-MLP (Predicting monsoon floods in rivers embedding wavelet transform, genetic algorithm and neural network)
DE-MLP (Differential evolution algorithms applied to neural network training suffer from stagnation)
FPA-MLP (Not found yet, you can check again)
PSO-MLP (Hybrid particle swarm and neural network approach for streamflow forecasting)
WOA-MLP (Annual Rainfall Forecasting Using Hybrid Artificial Intelligence Model: Integration of Multilayer Perceptron with Whale Optimization Algorithm)
GWO-MLP (Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm)
SpaSA-MLP (No one - A novel swarm intelligence optimization approach: sparrow search algorithm)
WDO-MLP (Wind Driven Optimization - No one use it yet, but this algorithm is old - 2010)
MVO-MLP (Multi-Verse Optimization - No one use it yet, 2016)
EO-MLP (Equilibrium optimizer: A novel optimization algorithm - No one use it yet, 2019)
NRO-MLP (Nuclear Reaction Optimization: A novel and powerful physics-based algorithm for global optimization - No
one use it yet, 2019)
HGSO-MLP (Henry gas solubility optimization: A novel physics-based algorithm, 2019)
Run MLP model by: mlp.py
Run Rnn-based model (RNN, LSTM) by: script_traditional_rrn_based.py (multiprocessing)
All hybrid-MLP model by: script_hybrid_mlp.py (multiprocessing also)
Get the results table mean, std, cv by: get_table_results.py
Results saved in folder: history/results/ based on daily or weekly datatype
Convergence errors of models in docs/results_of_paper/final_results_from_Thieu.xlsx
Stability figures in the paper in docs/results_of_paper/images/...
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A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
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