Journal ArticleDOI
Prediction of landslides using ASTER imagery and data mining models
TLDR
In this paper, an adaptive neuro-fuzzy interface system (ANFIS) was used to identify landslide-related factors using only remotely sensed data and to present landslide susceptibility maps using a geographic information system, data-mining models, an artificial neural network (ANN), and an ANFIS.About:
This article is published in Advances in Space Research.The article was published on 2012-03-01. It has received 45 citations till now. The article focuses on the topics: Advanced Spaceborne Thermal Emission and Reflection Radiometer & Adaptive neuro fuzzy inference system.read more
Citations
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Journal ArticleDOI
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
TL;DR: In this article, the authors used an index of entropy and conditional probability model to produce landslide susceptibility maps at Safarood basin, Iran using two statistical models such as an Index of Entropy and Conditional Probability and to compare the obtained results.
Journal ArticleDOI
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
TL;DR: In this article, the authors compared the results of two artificial neural network (ANN) algorithms, i.e., multilayer perceptron (MLP) and radial basic function (RBF) for spatial prediction of landslide susceptibility in Vaz Watershed, Iran.
Journal ArticleDOI
GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)
Hamid Reza Pourghasemi,Hamid Reza Moradi,S. M. Fatemi Aghda,Candan Gokceoglu,Biswajeet Pradhan +4 more
TL;DR: In this article, the authors used remote sensing and GIS integrated techniques to produce landslide susceptibility mapping by probabilistic likelihood ratio (PLR) and spatial multi-criteria evaluation (SMCE) models based on geographic information system (GIS) in the north of Tehran metropolitan, Iran.
Journal ArticleDOI
Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)
TL;DR: In this article, a hybrid model of statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) was used to assess landslide susceptibility mapping (LSM) in neighboring provinces of Alborz Mountains in Iran.
Journal ArticleDOI
GIS-based landslide spatial modeling in Ganzhou City, China
TL;DR: Wang et al. as mentioned in this paper assess GIS-based landslide spatial modeling using four models, namely data-driven evidential belief function (EBF), frequency ratio (FR), maximum entropy (Maxent), and logistic regression (LR), and compare their performances.
References
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Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Journal ArticleDOI
ANFIS: adaptive-network-based fuzzy inference system
TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.
Book
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
TL;DR: This text provides a comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing with equal emphasis on theoretical aspects of covered methodologies, empirical observations, and verifications of various applications in practice.
Journal Article
Slope movement types and processes
TL;DR: In this article, a fairly complete range of slope movement processes are identified and classified according to features that are also to some degree relevant to their recognition, avoidance, control, or correction.
Journal ArticleDOI
Neuro-fuzzy modeling and control
TL;DR: The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models, which possess certain advantages over neural networks.