User profiles for Mahdi Panahi
 | Mahdi Panahi, Ph.D.Department of Physical Geography at Stockholm University Verified email at natgeo.su.se Cited by 7808 |
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic�…
Flooding is one of the most significant environmental challenges and can easily cause fatal
incidents and economic losses. Flood reduction is costly and time-consuming task; so it is …
incidents and economic losses. Flood reduction is costly and time-consuming task; so it is …
Multi-hazard probability assessment and mapping in Iran
Several areas of Iran are prone to numerous natural hazards. An effective multi-hazard risk
reduction requires analysis of the individual hazards and their interplay. This research …
reduction requires analysis of the individual hazards and their interplay. This research …
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 …
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by Shuffled …
[HTML][HTML] Landslide detection and susceptibility mapping by airsar data using support vector machine and index of entropy models in cameron highlands, malaysia
Since landslide detection using the combination of AIRSAR data and GIS-based susceptibility
mapping has been rarely conducted in tropical environments, the aim of this study is to …
mapping has been rarely conducted in tropical environments, the aim of this study is to …
Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA)�…
W Chen, M Panahi, HR Pourghasemi�- Catena, 2017 - Elsevier
This paper presents GIS-based new ensemble data mining techniques that involve an adaptive
neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and …
neuro-fuzzy inference system (ANGIS) with genetic algorithm, differential evolution, and …
Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
This study provides a new comparative analysis of four hybrid artificial intelligence models
for the spatially explicit prediction of wildfire probabilities. Each model consists of an adaptive …
for the spatially explicit prediction of wildfire probabilities. Each model consists of an adaptive …
[HTML][HTML] New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
This study presents three new hybrid artificial intelligence optimization models—namely,
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and …
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA), and …
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various�…
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
[HTML][HTML] Novel hybrid evolutionary algorithms for spatial prediction of floods
Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of�…
Estimation of landslide susceptibility is still an ongoing requirement for land use management
plans. Here, we proposed two novel intelligence hybrid models that rely on an adaptive …
plans. Here, we proposed two novel intelligence hybrid models that rely on an adaptive …