SHALLOW LANDSLIDE SUSCEPTIBILITY MODELING USING THE DATA MINING MODELS ARTIFICIAL NEURAL NETWORK AND BOOSTED TREE

Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

The main purpose of this paper is to present some potential applications of sophisticated data mining techniques, such as artificial neural network (ANN) and boosted tree (BT), for landslide susceptibility modeling in the Yongin area, Korea.Initially, landslide inventory was detected from visual interpretation using acupatch digital aerial photogra

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Classification and Management of Changes in EPC Contracts of the Petroleum Industry Using the AHP and GRA Combined Method

Today, energy supply is one of the most important axes of the strategy of different countries due to its vital role in the continuation of technological and economic development of countries.The Petroleum industry, as one of the most important industries producing energy, has become an important and special industry due to the complexities of its p

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