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Entropy-Based Fuzzy Least Squares Twin Support Vector Machine for Pattern Classification |
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| Authors: | Chen Sugen Cao Junfeng Chen Fenglin Liu Bingbing |
| Affiliation: | 1.School of Mathematics and Computational Science, Anqing Normal University, Anqing, 246133, Anhui, People’s Republic of China ;2.Key Laboratory of Modeling, Simulation and Control of Complex Ecosystem in Dabie Mountains of Anhui Higher Education Institutes, Anqing Normal University, Anqing, 246133, China ;3.School of Science, Jiangnan University, Wuxi, 214122, Jiangsu, People’s Republic of China ; |
| Abstract: | Neural Processing Letters - Least squares twin support vector machine (LSTSVM) is a new machine learning method, as opposed to solving two quadratic programming problems in twin support vector... |
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