A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment
Abstract Landslide susceptibility assessment was performed using the novel hybrid model Bagging-based Naïve Bayes Trees (BAGNBT) at Mu Cang Chai district, located in northern Viet Nam. The model was validated using the Chi-square test, statistical indexes, and area under the receiver operating characteristic curve (AUC). In addition, other models, namely the Rotation Forest-based Naïve Bayes Trees (RFNBT), single Naïve Bayes Trees (NBT), and Support Vector Machines (SVM), were selected for the comparison. Results show that the novel hybrid model (AUC = 0.834) outperformed the RFNBT (0.830), SVM (0.805), and NBT (0.800). This indicates that the BAGNBT is a promising and better alternative method for landslide susceptibility modeling and mapping.
A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment
Abstract Landslide susceptibility assessment was performed using the novel hybrid model Bagging-based Naïve Bayes Trees (BAGNBT) at Mu Cang Chai district, located in northern Viet Nam. The model was validated using the Chi-square test, statistical indexes, and area under the receiver operating characteristic curve (AUC). In addition, other models, namely the Rotation Forest-based Naïve Bayes Trees (RFNBT), single Naïve Bayes Trees (NBT), and Support Vector Machines (SVM), were selected for the comparison. Results show that the novel hybrid model (AUC = 0.834) outperformed the RFNBT (0.830), SVM (0.805), and NBT (0.800). This indicates that the BAGNBT is a promising and better alternative method for landslide susceptibility modeling and mapping.
A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment
Pham, Binh Thai (author) / Prakash, Indra (author)
2017
Article (Journal)
Electronic Resource
English
BKL:
56.00$jBauwesen: Allgemeines
/
38.58
Geomechanik
/
38.58$jGeomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
56.00
Bauwesen: Allgemeines
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB18
A novel hybrid model of Bagging-based Naïve Bayes Trees for landslide susceptibility assessment
| Online Contents | 2017
| British Library Online Contents | 2017