|
| Year | Area(s) of application | Theme(s) | Method(S)/models studied/used | Nature of the study | Inference/conclusion |
|
| 2013 | Water resource management | Fluoride concentration prediction in ground water | Sugeno fuzzy logic (SFL) | Validation of effectiveness and comparative | Additional ANN layer improved performance of four base AI models |
| Mamdani fuzzy logic (MFL) |
| Neuro-fuzzy (NF) | ANN-ANN more effective |
| ANN |
| SFL-ANN |
| MFL-ANN |
| NF-ANN |
| ANN-ANN |
| Disaster management | Flood forecasting and warning system | ANN-ANFIS | Validation of effectiveness | Effectiveness of AI confirmed |
| Environmental management (mining applications) | Prediction of open-pit blasting operation | Support vector machine (SVM) | Comparative | SVM more effective |
| Multi-variate regression analysis (MVRA) |
|
| 2014 | Environmental management (air quality) | Prediction of photocatalytic efficiency | ANN | Comparative | Neuro-fuzzy (NF) more effective |
| Neuro-fuzzy (NF) |
| Water resource management | Nonlinear magneto hydro dynamics | ANN | Validation of effectiveness | Effectiveness of AI confirmed |
| Water inflow prediction | Support vector machine (SVM) | Validation of effectiveness and comparative | Effectiveness of SSA (data preprocessing) confirmed |
| Genetic programming (GP) |
| Seasonal autoregressive (SAR) |
| Singular spectrum analysis (SSA) |
| SSA-SVM |
| SSA-GP |
| Stream flow prediction | Linear genetic programming (LGP) | Comparative | Linear genetic programming (LGP) more effective |
| ANN |
| Generalized regression |
| Neural network (GRNN) |
| Radial basis function (RBF) |
| Non-linear differential equation solver | Pantograph functional differential equation | ANN | Validation of effectiveness | Effectiveness of AI confirmed |
| Simulated annealing (SA) |
| Pattern search (PS) |
| Genetic algorithm (GA) |
| Active set algorithm (ASA) |
| Hybrid combinations of above |
|
