Deep learning neural networks for spatially explicit prediction of flash flood probability
出版年份 2020 全文链接
标题
Deep learning neural networks for spatially explicit prediction of flash flood probability
作者
关键词
Spatial modeling, Machine learning, Convolutional neural networks, Recurrent neural networks, GIS, Iran
出版物
Geoscience Frontiers
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2020-12-17
DOI
10.1016/j.gsf.2020.09.007
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
- (2020) Dong Van Dao et al. CATENA
- Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
- (2020) Viet-Ha Nhu et al. Forests
- Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam
- (2020) Phong Tung Nguyen et al. International Journal of Environmental Research and Public Health
- Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
- (2020) Viet-Ha Nhu et al. International Journal of Environmental Research and Public Health
- GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
- (2020) Viet-Ha Nhu et al. Applied Sciences-Basel
- Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
- (2020) Phong Tung Nguyen et al. Applied Sciences-Basel
- Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam
- (2020) Quoc Cuong Tran et al. Applied Sciences-Basel
- Comparative Evaluation of Sustainable Design Based on Step-Wise Weight Assessment Ratio Analysis (SWARA) and Best Worst Method (BWM) Methods: A Perspective on Household Furnishing Materials
- (2019) Sarfaraz Hashemkhani Zolfani et al. Symmetry-Basel
- Flood Susceptibility Mapping on a National Scale in Slovakia Using the Analytical Hierarchy Process
- (2019) Matej Vojtek et al. Water
- Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data
- (2019) Asmamaw Gebrehiwot et al. SENSORS
- Application of Deep Learning to Cybersecurity: A Survey
- (2019) Samaneh Mahdavifar et al. NEUROCOMPUTING
- A Comparative Assessment of Flood Susceptibility Modeling Using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
- (2019) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
- (2019) Abolfazl Jaafari et al. AGRICULTURAL AND FOREST METEOROLOGY
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- Predicting spatial patterns of wildfire susceptibility in the Huichang County, China: An integrated model to analysis of landscape indicators
- (2019) Haoyuan Hong et al. ECOLOGICAL INDICATORS
- A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
- (2019) Dieu Tien Bui et al. CATENA
- Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran
- (2019) Mahmoud Bayat et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Information-theoretic portfolio decision model for optimal flood management
- (2019) Matteo Convertino et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Deep learning in business analytics and operations research: Models, applications and managerial implications
- (2019) Mathias Kraus et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability
- (2019) Abolfazl Jaafari et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran
- (2019) Saeid Janizadeh et al. Sustainability
- Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
- (2019) Wei Chen et al. Applied Sciences-Basel
- Predicting Slope Stability Failure through Machine Learning Paradigms
- (2019) Bui et al. ISPRS International Journal of Geo-Information
- The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes
- (2019) Hossein Moayedi et al. ISPRS International Journal of Geo-Information
- Hybrid computational intelligence models for groundwater potential mapping
- (2019) Binh Thai Pham et al. CATENA
- A deep learning model to recognize food contaminating beetle species based on elytra fragments
- (2019) Leihong Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia
- (2019) Omid Rahmati et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Multi-hazards vulnerability assessment of southern coasts of Iran
- (2019) Davood Mafi-Gholami et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Rainwater harvesting for urban flood management – An integrated modelling framework
- (2019) Behzad Jamali et al. WATER RESEARCH
- Analysis of Flood Fatalities–Slovenian Illustration
- (2019) Maruša Špitalar et al. Water
- Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping
- (2018) Hossein Shafizadeh-Moghadam et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier
- (2018) Binh Thai Pham et al. Journal of the Indian Society of Remote Sensing
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
- (2018) Khabat Khosravi et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
- (2018) Haoyuan Hong et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)
- (2018) M. Ahmadlou et al. Geocarto International
- Soil pore identification with the adaptive fuzzy C-means method based on computed tomography images
- (2018) Yue Zhao et al. JOURNAL OF FORESTRY RESEARCH
- Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms
- (2018) Dieu Tien Bui et al. SENSORS
- Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
- (2018) Dieu Tien Bui et al. Scientific Reports
- Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran
- (2018) Mohsen Alizadeh et al. Sustainability
- Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
- (2018) Wei Chen et al. CATENA
- An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
- (2018) Bahram Choubin et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Modeling multi-decadal mangrove leaf area index in response to drought along the semi-arid southern coasts of Iran
- (2018) Davood Mafi-Gholami et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
- (2018) Hamid Darabi et al. JOURNAL OF HYDROLOGY
- Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques
- (2018) Mahyat Shafapour Tehrany et al. CATENA
- Assessment of urban flood susceptibility using semi-supervised machine learning model
- (2018) Gang Zhao et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Exploring the circumstances surrounding flood fatalities in Australia—1900–2015 and the implications for policy and practice
- (2017) Katharine Haynes et al. ENVIRONMENTAL SCIENCE & POLICY
- Spatial prediction of wildfire probability in the Hyrcanian ecoregion using evidential belief function model and GIS
- (2017) M. H. Nami et al. International Journal of Environmental Science and Technology
- Impacts of land use–land cover change and urbanization on flooding: A case study of Oshiwara River Basin in Mumbai, India
- (2016) P.E. Zope et al. CATENA
- Flood hazard mapping in Jamaica using principal component analysis and logistic regression
- (2016) Arpita Nandi et al. Environmental Earth Sciences
- Flood susceptibility assessment using GIS-based support vector machine model with different kernel types
- (2015) Mahyat Shafapour Tehrany et al. CATENA
- Decision-making for the selection of a best wood extraction method: An analytic network process approach
- (2015) Abolfazl Jaafari et al. FOREST POLICY AND ECONOMICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
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