Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers
نویسندگان
چکیده
منابع مشابه
Comprehensive Models for Evaluating Rockmass Stability Based on Statistical Comparisons of Multiple Classifiers
The relationships between geological features and rockmass behaviors under complex geological environments were investigated based on multiple intelligence classifiers. Random forest, support vector machine, bayes’ classifier, fisher’s classifier, logistic regression, and neural networks were used to establish models for evaluating the rockmass stability of slope. Samples of both circular failu...
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15 صفحه اولStatistical Comparisons of Classifiers over Multiple Data Sets
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2013
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2013/395096