PRELIMINARY AND FAST RISK ASSESSMENT OF DEBRIS-FLOW HAZARDS USING DIFFERENT ARTIFICIAL NEURAL NETWORKS
Journal Title: International Journal of Civil, Structural, Environmental and Infrastructure Engineering Research and Development (IJCSEIERD) - Year 2017, Vol 7, Issue 1
Abstract
Researches revealed that prediction of occurrence of debris-flow hazards can be achieved by artificial intelligence techniques. In the paper three different artificial neural networks (ANNs), i.e., back-propagation neural network (BPNN), radial basis function neural network (RBFNN) and probabilistic neural network (PNN), are employed for risk assessment of debris-flow hazards. Case of watershed area of Chen-Yu-Lan River in Nantou, Taiwan, studied by Hsiao (2003) who employed an integrated technique of digital terrain model (DTM), image processing schemes, and geographical information system (GIS) is considered. ANN models with 15 influence factors and with 7 influence factors obtained by principal component analysis (PCA) are tested, respectively. In the BPNN topology four different learning rules of MATLAB nntool are selected. It is shown that the percentage of accuracy of debris-flow hazard prediction can be up to 90.48% using BPNN models with totally 15 influence factors. Present study revealed that integration of DTM, GIS and ANN techniques can construct a preliminary and fast risk asse assessment of debris flow hazards for watershed areas.
Authors and Affiliations
LI-JENG HUANG, TZY-WEI CHEN
Keywords
Related Articles
- EP ID EP220097
- DOI -
- Views 162
- Downloads 0
HANGING FORMWORK TECHNIQUE AS NEW INNOVATION FOR CASTING PLATES WITHOUT SCAFFOLDING
Hanging Formwork Systems is a form of use of formwork for casting slab without using poles and quite efficiently applied in the implementation of building additions to fixed activities in the old building. Hanging formwo...
Geometry and Leaning of Alhadba Minaret
There is great effort of planning to rebuild the recently destructed Alhadba minaret in Mosul. A major requirement is to study the original shape and materials. During the past years, there was a considerable amount of l...
DETECTION OF ATMOSPHERIC NH3 FROM IASI SATELLITE AND ITS VALIDATION USING CHEMICAL TRANSPORT MODEL OVER INDIAN REGION: A REVIEW
Atmospheric ammonia (NH3) has great environmental implications due to its important role in ecosystem and global nitrogen cycle, as well as contribution to secondary particle formation. Ammonia (NH3) emissions in the atm...
UNCONFINED COMPRESSIVE STRENGTH OF CEMENT STABILIZED POND ASH
Now a day, ash obtained from thermal power plants can be utilized in the construction of embankments and compacted fills. Ash is a pozzolanic material and its engineering properties can be improved by the addition of cem...
INFLUENCES OF CALCIUM SOURCES, CONCENTRATION OF THE CEMENTATION SOLUTION AND TYPE OF SAND ON MICROBIAL INDUCED CARBONATE PRECIPITATION
MICP technology is relatively one of the new technology emerge in the field of improving the soil. Therefore, this technique needs more intensive research before it becomes usable in widespread. This research aims to stu...