Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area
碩士 === 國立屏東科技大學 === 森林系所 === 97 === Landslides has become one disaster type of the most serious destroy on the slope lands. The way to monitoring and assessment for landslide area can help government agencies to select suitable management and plan mitigation in unstable landslide areas. This researc...
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ndltd-TW-097NPUS53600132016-12-22T04:18:18Z http://ndltd.ncl.edu.tw/handle/36863306262972105477 Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area 應用倒傳遞類神經網路模擬山棕寮地滑地滑移特性 林廣榮 碩士 國立屏東科技大學 森林系所 97 Landslides has become one disaster type of the most serious destroy on the slope lands. The way to monitoring and assessment for landslide area can help government agencies to select suitable management and plan mitigation in unstable landslide areas. This research presents a case study of landslide monitoring and assessment at Shanzongliao landslide area, Taitung County, attempt to predict slope movements using back propagation neural network (BPNN), as well as use powerful tools to model and investigate various complex and non-linear phenomena. The BPNN can performed calculation to use MATLAB program with the Levenberg-Marquardt algorithm. The data from the case study are used to train and test the developed model to enable prediction of the magnitude of the ground movements with the help of input variables that have direct physical significance. An infiltration coefficient is introduced in the network architecture apart from antecedent rainfall, rainfall intensity, slope profile, groundwater level and shear strength of soil. A four-layered back propagation neural network with an input layer, two hidden layers and one output layer is found optimal. The developed BPNN model demonstrates a promising result, and have good potential accurately for predicting the slope movement, and can offer the reference of disaster prevention and utilizing management at the steep slope. 許中立 2009 學位論文 ; thesis 66 zh-TW |
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碩士 === 國立屏東科技大學 === 森林系所 === 97 === Landslides has become one disaster type of the most serious destroy on the slope lands. The way to monitoring and assessment for landslide area can help government agencies to select suitable management and plan mitigation in unstable landslide areas. This research presents a case study of landslide monitoring and assessment at Shanzongliao landslide area, Taitung County, attempt to predict slope movements using back propagation neural network (BPNN), as well as use powerful tools to model and investigate various complex and non-linear phenomena. The BPNN can performed calculation to use MATLAB program with the Levenberg-Marquardt algorithm. The data from the case study are used to train and test the developed model to enable prediction of the magnitude of the ground movements with the help of input variables that have direct physical significance. An infiltration coefficient is introduced in the network architecture apart from antecedent rainfall, rainfall intensity, slope profile, groundwater level and shear strength of soil. A four-layered back propagation neural network with an input layer, two hidden layers and one output layer is found optimal. The developed BPNN model demonstrates a promising result, and have good potential accurately for predicting the slope movement, and can offer the reference of disaster prevention and utilizing management at the steep slope.
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許中立 |
author_facet |
許中立 林廣榮 |
author |
林廣榮 |
spellingShingle |
林廣榮 Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
author_sort |
林廣榮 |
title |
Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
title_short |
Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
title_full |
Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
title_fullStr |
Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
title_full_unstemmed |
Applying Back Propagation Neural Network on Displacement Characteristic Assessment in Shanzongliao Landslide Area |
title_sort |
applying back propagation neural network on displacement characteristic assessment in shanzongliao landslide area |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/36863306262972105477 |
work_keys_str_mv |
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1718403626053926912 |