College of Environment and Spatial Informatics, China University of Mining Technology (CUMT),Xuzhou, 221116, China Department of Information and Engineering, Shandong University of Science and Technology (SDUST),Taian, 271019, China;
College of Environment and Spatial Informatics, China University of Mining Technology (CUMT),Xuzhou, 221116, China;
Nanyang Technological University (NTU), Singapore, 639798, Singapore;
Least squares support vector machine; Sparse method; Combinatorial optimization algorithm; Linear equations least squares support vector machine;
机译:基于正规化的极端学习机的研磨过程自适应混合软传感器模型及最小二乘支持向量机优化Golden Sine Harris Hawk优化算法
机译:人工神经网络与最小二乘支持向量机算法相结合的短期负荷预测
机译:一种新的可靠性岩体质量分类方法,基于最小二乘支持向量机的细菌觅食优化算法优化
机译:最小二乘支持向量机组合优化算法的研究
机译:支持向量机的内核优化和分布式学习算法。
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:基于正规化的极端学习机的研磨过程自适应混合软传感器模型及最小二乘支持向量机优化Golden Sine Harris Hawk优化算法