标题
Modification of landslide susceptibility mapping using optimized PSO-ANN technique
作者
关键词
-
出版物
ENGINEERING WITH COMPUTERS
Volume -, Issue -, Pages -
出版商
Springer Nature America, Inc
发表日期
2018-09-22
DOI
10.1007/s00366-018-0644-0
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。- Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
- (2018) Hossein Moayedi et al. APPLIED SOFT COMPUTING
- Potentialities and limitations of thermography to assess landslide risk
- (2018) Rosario Morello MEASUREMENT
- Artificial intelligence design charts for predicting friction capacity of driven pile in clay
- (2018) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions
- (2018) Mohammadreza Koopialipoor et al. SOFT COMPUTING
- Slope stability analysis based on real-time displacement measurements
- (2018) Huafu Pei et al. MEASUREMENT
- Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
- (2017) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- Landslide characterization using a multidisciplinary approach
- (2017) Ernesto Ausilio et al. MEASUREMENT
- Levenberg–Marquardt neural network to estimate UPFC-coordinated PSS parameters to enhance power system stability
- (2017) Md Juel Rana et al. NEURAL COMPUTING & APPLICATIONS
- An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand
- (2017) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran
- (2016) Ebrahim Karimi Sangchini et al. Arabian Journal of Geosciences
- Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling
- (2016) Mahdi Hasanipanah et al. ENGINEERING WITH COMPUTERS
- Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques
- (2016) M. Monjezi et al. ENGINEERING WITH COMPUTERS
- Rock strength assessment based on regression tree technique
- (2016) Maybelle Liang et al. ENGINEERING WITH COMPUTERS
- Rock strength estimation: a PSO-based BP approach
- (2016) E. Tonnizam Mohamad et al. NEURAL COMPUTING & APPLICATIONS
- Feasibility of ICA in approximating ground vibration resulting from mine blasting
- (2016) Danial Jahed Armaghani et al. NEURAL COMPUTING & APPLICATIONS
- An optimized ANN model based on genetic algorithm for predicting ripping production
- (2016) Edy Tonnizam Mohamad et al. NEURAL COMPUTING & APPLICATIONS
- Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods
- (2016) V. Vakhshoori et al. Geomatics Natural Hazards & Risk
- Prediction of the strength and elasticity modulus of granite through an expert artificial neural network
- (2015) Danial Jahed Armaghani et al. Arabian Journal of Geosciences
- Detection and analysis of historical variations in the shoreline, using digital aerial photos, satellite images, and topographic surveys DGPS: case of the Bejaia bay (East Algeria)
- (2015) Katia Ayadi et al. Arabian Journal of Geosciences
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network
- (2015) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
- Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation
- (2015) Roohollah Shirani Faradonbeh et al. ENGINEERING WITH COMPUTERS
- Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
- (2015) Amir Saghatforoush et al. ENGINEERING WITH COMPUTERS
- A combination of the ICA-ANN model to predict air-overpressure resulting from blasting
- (2015) Danial Jahed Armaghani et al. ENGINEERING WITH COMPUTERS
- Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
- (2015) Ehsan Momeni et al. MEASUREMENT
- Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles
- (2015) Danial Jahed Armaghani et al. NEURAL COMPUTING & APPLICATIONS
- Comparison between regression and ANN models for relationship of soil properties and electrical resistivity
- (2014) Fahad Irfan Siddiqui et al. Arabian Journal of Geosciences
- Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm
- (2014) Mohsen Hajihassani et al. Bulletin of Engineering Geology and the Environment
- Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia
- (2014) Zahrul Umar et al. CATENA
- A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping
- (2014) Hamid reza Pourghasemi et al. Geomatics Natural Hazards & Risk
- Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
- (2013) Mohammad Zare et al. Arabian Journal of Geosciences
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
- (2013) D. Jahed Armaghani et al. Arabian Journal of Geosciences
- Using artificial neural network (ANN) in prediction of collapse settlements of sandy gravels
- (2013) H. Hasanzadehshooiili et al. Arabian Journal of Geosciences
- GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)
- (2013) H. R. Pourghasemi et al. Arabian Journal of Geosciences
- Application of weights-of-evidence and certainty factor models and their comparison in landslide susceptibility mapping at Haraz watershed, Iran
- (2012) Hamid Reza Pourghasemi et al. Arabian Journal of Geosciences
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS
- (2012) Biswajeet Pradhan COMPUTERS & GEOSCIENCES
- Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya
- (2012) Krishna Chandra Devkota et al. NATURAL HAZARDS
- Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
- (2012) Hamid Reza Pourghasemi et al. NATURAL HAZARDS
- Prediction of soil erodibility factor for Peninsular Malaysia soil series using ANN
- (2012) Mohd Fazly Yusof et al. NEURAL COMPUTING & APPLICATIONS
- A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
- (2010) Ebru Akcapinar Sezer et al. EXPERT SYSTEMS WITH APPLICATIONS
- Landslide Susceptibility Mapping by Neuro-Fuzzy Approach in a Landslide-Prone Area (Cameron Highlands, Malaysia)
- (2010) Biswajeet Pradhan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches
- (2010) B. Pradhan Journal of the Indian Society of Remote Sensing
- Weights-of-evidence model applied to landslide susceptibility mapping in a tropical hilly area
- (2010) Biswajeet Pradhan et al. Geomatics Natural Hazards & Risk
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now