机译:集成非高斯局部回归进行工业硅含量预测
Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China;
Shandong Electric Power Engineering Consulting Corporation Limited, Jinan, 250013, People's Republic of China;
Institute of Process Equipment and Control Engineering, Zhejiang University of Technology, Hangzhou, 310014, People's Republic of China;
silicon content; data-driven model; independent component analysis; Gaussian process regression; just-in-time-learning;
机译:集合非高斯局部回归进行工业硅含量预测
机译:使用支持向量回归与聚类算法结合的高炉硅含量预测和工业分析
机译:使用集成实时高斯过程回归模型开发软传感器,以在线预测工业批次橡胶混合过程的质量
机译:使用自适应加权回波状态网络集合来构建炼制过程中硅含量的预测间隔和预测可靠性
机译:优化局部最小二乘回归以进行短期风能预测。
机译:具有嘈杂数据的实时时间各向异性软传感器用于工业硅含量预测
机译:用模糊GA回归预测铁水中的硅含量