Original paper

A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility

Volume: 726, Pages: 138595 - 138595
Published: Jul 1, 2020
Abstract
Land subsidence (LS) is a significant problem that can cause loss of life, damage property, and disrupt local economies. The Semnan Plain is an important part of Iran, where LS is a major problem for sustainable development and management. The plain represents the changes occurring in 40% of the country. We introduce a novel-ensemble intelligence approach (called ANN-bagging) that uses bagging as a meta- or ensemble-classifier of an artificial...
Paper Details
Title
A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility
Published Date
Jul 1, 2020
Volume
726
Pages
138595 - 138595
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