Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia
文献类型：期刊论文
| 作者 | Soma, Andang Suryana; Kubota, Tetsuya; Mizuno, Hideaki |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2019 |
| 卷号 | 16期号:2页码:383-401 |
| 关键词 | Optimized causative factor Landslide Logistic Regression Artificial neural network Indonesia Notation |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-018-4884-7 |
| 文献子类 | Article |
| 英文摘要 | Landslide susceptibility maps (LSMs) play a vital role in assisting land use planning and risk mitigation. This study aims to optimize causative factors using logistic regression (LR) and an artificial neural network (ANN) to produce a LSM. The LSM is produced with 11 causative factors and then optimized using forward-stepwise LR (FSLR), ANN, and their combination (FSLR-ANN) until eight causative factors were found for each method. The ANN method produced superior validation results compared with LR. The ROC values for the training data set ranges between 0.8 and 0.9. On the other hand, validation with the percentage of landslide fall into LSM class high and very high, ANN method was higher (92.59%) than LR (82.12%). FSLR-ANN with nine causative factors gave the best validation results with respect to area under curve (AUC) values, and validation with the percentage of landslide fall into LSM class high and very high. In conclusion, ANN was found to be better than LR when producing LSMs. The best Optimization was combination of FSLR -ANN with nine causative factors and AUC success rate 0.847, predictive rate 0.844 and validation with landslide fall into high and very high class with 91.30%. It is an encouraging preliminary model towards a systematic introduction of FSLR-ANN model for optimization causative factors in landslide susceptibility assessment in the mountainous area of Ujung Loe Watershed. |
| 电子版国际标准刊号 | 1993-0321 |
| 语种 | 英语 |
| WOS记录号 | WOS:000458657000011 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46435]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.2 |
| 推荐引用方式 GB/T 7714 | Soma, Andang Suryana,Kubota, Tetsuya,Mizuno, Hideaki. Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(2):383-401. |
| APA | Soma, Andang Suryana,Kubota, Tetsuya,&Mizuno, Hideaki.(2019).Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia.JOURNAL OF MOUNTAIN SCIENCE,16(2),383-401. |
| MLA | Soma, Andang Suryana,et al."Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia".JOURNAL OF MOUNTAIN SCIENCE 16.2(2019):383-401. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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