Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
نویسندگان
چکیده
منابع مشابه
Support vector regression with random output variable and probabilistic constraints
Support Vector Regression (SVR) solves regression problems based on the concept of Support Vector Machine (SVM). In this paper, a new model of SVR with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. Using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...
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ژورنال
عنوان ژورنال: Journal of Cleaner Production
سال: 2018
ISSN: 0959-6526
DOI: 10.1016/j.jclepro.2018.08.207