Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
The main objective of the present study was to produce a novel ensemble data mining technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by Shuffled Frog Leaping Algorithm (SFLA) and Particle Swarm Optimization (PSO) for spatial modeling of landslide susceptibility. Ste...
Main Authors: | Chen, Wei, Panahi, Mahdi, Tsangaratos, Paraskevas, Shahabi, Himan, Ilia, Ioanna, Panahi, Somayeh, Li, Shaojun, Jaafari, Abolfazl, Ahmad, Baharin |
---|---|
Format: | Article |
Published: |
Elsevier B.V.
2019
|
Subjects: |
Similar Items
-
Spatial prediction of landslide susceptibility using GIS-based data mining techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
by: Chen, Wei, et al.
Published: (2019) -
Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment
by: Shahabi, Himan, et al.
Published: (2015) -
Novel hybrid evolutionary algorithms for spatial prediction of floods
by: Bui, D. T., et al.
Published: (2018) -
Application of GIS and remote sensing techniques in assessment of natural hazards in the Central Zab Basin, Northwest of Iran
by: Saeed, Khezri, et al.
Published: (2013) -
Application of GIS based multi-criteria analysis in site selection of water reservoirs (case study: Batu Pahat, Malaysia)
by: Ahmad, Bakhtyar Ali, et al.
Published: (2015)