Urban growth modelling in Qazvin, Iran: an investigation into the performance of three ANFIS methods
Author:
Affiliation:
1. Department of Civil Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
2. Department of Geomatics Engineering, Babol Noshirvani University of Technology, Babol, Iran
Publisher
Informa UK Limited
Subject
Atmospheric Science,General Energy,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/14498596.2022.2066579
Reference69 articles.
1. The simulation and prediction of spatio-temporal urban growth trends using cellular automata models: A review
2. Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model
3. Prediction of municipal solid waste generation: an investigation of the effect of clustering techniques and parameters on ANFIS model performance
4. Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
5. ANFIS based prediction model for biomass heating value using proximate analysis components
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