Chen, Wei, Panahi, Mahdi, Pourghasemi, Hamid Reza (2017) 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 optimization (PSO) for landslide spatial modelling. CATENA, 157. 310-324 doi:10.1016/j.catena.2017.05.034
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | 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 optimization (PSO) for landslide spatial modelling | ||
Journal | CATENA | ||
Authors | Chen, Wei | Author | |
Panahi, Mahdi | Author | ||
Pourghasemi, Hamid Reza | Author | ||
Year | 2017 (October) | Volume | 157 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.catena.2017.05.034Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 16571923 | Long-form Identifier | mindat:1:5:16571923:0 |
GUID | 0 | ||
Full Reference | Chen, Wei, Panahi, Mahdi, Pourghasemi, Hamid Reza (2017) 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 optimization (PSO) for landslide spatial modelling. CATENA, 157. 310-324 doi:10.1016/j.catena.2017.05.034 | ||
Plain Text | Chen, Wei, Panahi, Mahdi, Pourghasemi, Hamid Reza (2017) 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 optimization (PSO) for landslide spatial modelling. CATENA, 157. 310-324 doi:10.1016/j.catena.2017.05.034 | ||
In | (2017) CATENA Vol. 157. Elsevier BV |
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