Parameter Optimization of Support Vector Regression Using Henry Gas Solubility Optimization Algorithm
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DOI: 10.1109/access.2020.2993267
Abstract: Support vector regression (SVR) is one of the most powerful and widely used machine learning algorithms regarding prediction. The kernel type, penalty factor and other parameters influence the efficiency and performance of SVR deeply. The… read more here.
Keywords: henry; optimization; henry gas; using henry ... See more keywords