机译:基于熵的模糊最小二乘双支持向量机的模式分类
School of Mathematics and Computational Science Anqing Normal University Anqing 246133 Anhui People's Republic of China Key Laboratory of Modeling Simulation and Control of Complex Ecosystem in Dabie Mountains of Anhui Higher Education Institutes Anqing Normal University Anqing 246133 China;
School of Science Jiangnan University Wuxi 214122 Jiangsu People's Republic of China;
School of Mathematics and Computational Science Anqing Normal University Anqing 246133 Anhui People's Republic of China;
Pattern classification; Information entropy; Least squares twin support vector machine; Fuzzy membership;
机译:模糊机会限制最小二乘双支持向量机用于不确定分类
机译:保局投影最小二乘支持向量机用于模式分类。
机译:基于KNN的最小二乘双重支持矢量机,用于模式分类
机译:通过模糊加权最小二乘孪生支持向量机对噪声进行二值分类
机译:使用支持向量机主动学习硬皮病肺病模式的不平衡数据分类。
机译:基于最小二乘支持向量机和改进果蝇优化算法的振动信号识别采煤机切割模式
机译:基于熵的模糊双界支持向量机用于二进制分类
机译:通过增量近似最近支持向量快速查询优化的内核机器分类