混合高斯过程回归模型在铁水硅含量预报中的应用 = Composite gaussian process regression model and its application to prediction of silicon content in hot metal
为了提高基于高斯过程回归的软测量模型的预测精度,提出了一种混合高斯过程回归模型。该模型将高斯过程回归模型预测输出值的方差及其分布作为主要考虑因素,对多个高斯过程回归模型的输出值进行组合输出,获得了比单个高斯过程回归模型更高的预测精度和更强的模型鲁棒性。将该模型实用于高炉铁水硅含量预报模型的建模,获得了比使用单个高斯过程回归模型建模时更好的应用效果。In order to increase the predictive precision of gaussian process regression based soft sensor, a composite gaussian process...
Asıl Yazarlar: | 任江洪 Ren, Jiang-Hong, 陈韬 Chen, Tao, 曹长修 Cao, Chang-Xiu |
---|---|
Diğer Yazarlar: | School of Chemical and Biomedical Engineering |
Materyal Türü: | Journal Article |
Dil: | Chinese Chinese |
Baskı/Yayın Bilgisi: |
2015
|
Konular: | |
Online Erişim: | https://hdl.handle.net/10356/107138 http://hdl.handle.net/10220/25398 |
Benzer Materyaller
-
基于最小二乘支持向量回归模型的拉曼光纤放大器优化设计 = Optimization for Raman fiber amplifiers based on least squares support vector regression model
Yazar:: 陈静 Chen Jing, ve diğerleri
Baskı/Yayın Bilgisi: (2018) -
政府与人民记忆方式的差异 :新加坡旧福特车厂的保留过程 = The differing act of remembrance by the government and its people : preservation of Singapore former Ford factory
Yazar:: 曹惠玲 Cho, Caroline Wai Leng
Baskı/Yayın Bilgisi: (2019) -
史铁生作品中的终极关怀 = The ultimate concern in the works of Shi Tiesheng
Yazar:: 王睿琳 Wang, Rui Lin
Baskı/Yayın Bilgisi: (2017) -
中国私立学校投资模型研究 = Modelling private school investment in China
Yazar:: 史江群 Shi, Jiangqun
Baskı/Yayın Bilgisi: (2008) -
基于经验模态分解和神经网络的微网混合储能容量优化配置 = Capacity optimization of hybrid energy storage systems in microgrid using empirical mode decomposition and neural network
Yazar:: 孙承晨 Sun Chengchen, ve diğerleri
Baskı/Yayın Bilgisi: (2018)