about
Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China.Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China.Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, IndiaImproving the accuracy of landslide susceptibility model using a novel region-partitioning approachComparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropySpatial prediction of landslide hazard at the Luxi area (China) using support vector machinesSpatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machinesSpatial distribution and susceptibility analyses of pre-earthquake and coseismic landslides related to the Ms 6.5 earthquake of 2014 in Ludian, Yunan, ChinaInterpretation and Research On Landuse Based On Landsat 7 ETM Plus Remote Sensing DataLandslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio ModelSpatial Prediction of Landslide Hazard at the Yihuang Area (China): A Comparative Study on the Predictive Ability of Backpropagation Multi-layer Perceptron Neural Networks and Radial Basic Function Neural NetworksA comparative assessment between linear and quadratic discriminant analyses (LDA-QDA) with frequency ratio and weights-of-evidence models for forest fire susceptibility mapping in ChinaLandslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical modelsGIS-based landslide spatial modeling in Ganzhou City, ChinaLandslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, ChinaModeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methodsFlood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithmComparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning modelsComparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
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P50
description
researcher ORCID ID = 0000-0001-6224-069X
@en
wetenschapper
@nl
name
Haoyuan Hong
@ast
Haoyuan Hong
@en
Haoyuan Hong
@es
Haoyuan Hong
@nl
type
label
Haoyuan Hong
@ast
Haoyuan Hong
@en
Haoyuan Hong
@es
Haoyuan Hong
@nl
prefLabel
Haoyuan Hong
@ast
Haoyuan Hong
@en
Haoyuan Hong
@es
Haoyuan Hong
@nl
P106
P1153
55630331400
P31
P496
0000-0001-6224-069X