Abstract
In the present study, a hybrid approach of Random Subspace Ensemble (RSS) and Reduced Error Pruning Trees (REPT) has been proposed to create a novel hybrid model namely RSS-REPT for landslide susceptibility modeling of the Mu Cang Chai district, Yen Bai province of...
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CITATION STYLE
Pham, B. T., & Prakash, I. (2018). A Novel Hybrid Intelligent Approach of Random Subspace Ensemble and Reduced Error Pruning Trees for Landslide Susceptibility Modeling: A Case Study at Mu Cang Chai District, Yen Bai Province, Viet Nam. In Advances and Applications in Geospatial Technology and Earth Resources (pp. 255–269). Springer International Publishing. https://doi.org/10.1007/978-3-319-68240-2_16
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