机译:高炉炼铁过程的自适应最小二乘支持向量机预测器
College of Science, China University of Petroleum, Qingdao, Huangdao District, Qingdao, 266580 China;
College of Science, China University of Petroleum, Qingdao, Huangdao District, Qingdao, 266580 China;
College of Science, China University of Petroleum, Qingdao, Huangdao District, Qingdao, 266580 China;
College of Science, China University of Petroleum, Qingdao, Huangdao District, Qingdao, 266580 China;
College of Science, China University of Petroleum, Qingdao, Huangdao District, Qingdao, 266580 China;
adaptive LS-SVM predictor; silicon content prediction; recursive updating algorithm; blast furnace;
机译:高炉炼铁过程的自适应最小二乘支持向量机预测
机译:使用主成分分析和最小二乘支持向量机预测高炉系统中的硅含量
机译:改进最小二乘支持向量机的解决方案并应用于高炉系统
机译:基于Laguerre滤波器和线性规划支持向量回归的高炉炼铁工艺Wiener模型辨识。
机译:使用支持向量机和自适应判决反馈均衡器的新形式对数字通信进行非线性信号处理。
机译:使用血清代谢生物标志物和最小二乘支持向量机的预测性诊断慢性阻塞性肺疾病
机译:适应性最小二乘支持向量机预测到高炉炼铁工艺