Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm…
By Wei Chen, Mahdi Panahi, Hamid Reza Pourghasemi. 2017
314 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Global and Planetary Change, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/ba4c47ca39fe99fc5e86c29efa3fde0645fea052
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Binh Thai Pham
- D. Tien Bui
- Hoang Nguyen
- Jin Duan
- Panagiotis G. Asteris
- Xuan-Nam Bui
- Hossein Moayedi
- Hai-Bang Ly
In Global and Planetary Change
- Binh Thai Pham
- Khabat Khosravi
- Himan Shahabi
- Ataollah Shirzadi
- D. Tien Bui
- Baharin bin Ahmad
- Wei Chen
- Haoyuan Hong
In Management, Monitoring, Policy and Law
- Binh Thai Pham
- D. Tien Bui
- Himan Shahabi
- Ataollah Shirzadi
- Khabat Khosravi
- Baharin bin Ahmad
- Wei Chen
- Mahdi Panahi
Citations in the corpus
- Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization (2018, background): “Detailed description of DE can be found in Chen et al. (2017).”
- A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model (2020, methodology): “It was introduced by [85] first in 1993 and was widely applied in many fields [32, 86–90].”
- Prediction of Compressive Strength of Geopolymer Concrete Using Entirely Steel Slag Aggregates: Novel Hybrid Artificial Intelligence Approaches (2019, methodology): “Therefore, the main objective of this study was to predict the compressive strength of fabricated GPC using novel hybrid AI approaches, namely a particle swarm optimization (PSO)-based adaptive network-based fuzzy inference system (PSOANFIS) and a genetic algorithm (GA)-based adaptive network based ”
- A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment (2018, methodology): “…Chen et al. 2017b), decision trees (Pham et al. 2016; Chen et al. 2017h, 2017g), support vector machines (Colkesen et al. 2016; Hong et al. 2016b; Chen et al. 2017c; Shirzadi et al. 2017c), naive Bayes (Pham et al. 2017a; Shirzadi et al. 2017a), random forest (Youssef et al. 2016; Chen et al.…”