机译:基于大规模数据库在线建模的改进局部模型在高炉铁水温度预测中的应用
Department of Electrical Engineering and Bioscience, School of Advanced Science and Engineering, Waseda University,3-4-1 Ookubo, Shinjyuku-ku, Tokyo 169-8555 Japan;
Environment & Process Technology Center, Technical Development Bureau Nippon Steel Corp., 20-1 Shintomi, Futtsu, Chiba 293-8511 Japan;
Environment & Process Technology Center, Technical Development Bureau Nippon Steel Corp., 20-1 Shintomi, Futtsu, Chiba 293-8511 Japan;
The Graduate School of Information, Production and Systems, Waseda University, 2-7 Hibikino, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135 Japan;
Department of Electrical Engineering and Bioscience, School of Advanced Science and Engineering, Waseda University,3-4-1 Ookubo, Shinjyuku-ku, Tokyo 169-8555 Japan;
blast furnace; just-in-time modeling; prediction; process control; weighted multiple regression; mutual information; on-line Bayesian learning; sequential monte carlo;
机译:基于大规模数据库在线建模的改进局部模型在高炉铁水温度预测中的应用
机译:基于数据驱动递归子空间辨识的在线模型用于高炉炼铁中铁水质量的预测和控制
机译:基于时间序列数据的高炉铁水温度预测模型
机译:基于RBF神经网络的AOD炉铁路终点温度预测模型
机译:高炉的稳态和动力学模型。
机译:基于红外热成像和降温模型的高炉铁水温度测量方法
机译:基于红外热成像和降温模型的高炉铁水温度测量方法
机译:高炉在线模拟模型。第4部分。模型在预测中的应用。