基于BP神经网络的秸秆发酵过程乙醇浓度软测量方法[J]. 马凤英;于文志.传感器与微系统,2021(07)

基于混合蛙跳算法的极限学习机软测量建模[J]. 孙顺远;周乾.传感器与微系统,2021(05)

循环流化床入炉垃圾热值软测量[J]. 尤海辉;马增益;唐义军;王月兰;郑林;俞钟;吉澄军.浙江大学学报(工学版),2017(06)

结构体系可靠度分析的改进支持向量回归[J]. 刘扬;鲁乃唯;蒋友宝.浙江大学学报(工学版),2015(09)

多模态过程的全自动离线模态识别方法[J]. 张淑美;王福利;谭帅;王姝.自动化学报,2016(01)

支持向量机[M]. 邓乃扬, 田英杰, 著.科学出版社,2009

A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition[J]. Zhongwei Zhang;Huaihai Chen;Shunming Li;Zenghui An;Jinrui Wang.Neurocomputing,2020

Mixture modeling for industrial soft sensor application based on semi-supervised probabilistic PLS[J]. Junhua Zheng;Zhihuan Song.Journal of Process Control,2019

Soft sensor modeling with a selective updating strategy for Gaussian process regression based on probabilistic principle component analysis[J]. Weili Xiong;Xudong Shi.Journal of the Franklin Institute,2018

A Framework and Modeling Method of Data-Driven Soft Sensors Based on Semisupervised Gaussian Regression[J]. Yan, Weiwu;Guo, Pengju;Tian, Yu;Gao, Jianjun.Industrial & Engineering Chemistry Research,2016

Optimal online soft sensor for product quality monitoring in propylene polymerization process[J]. Zhong Cheng;Xinggao Liu.Neurocomputing,2015

Data-driven soft sensor development based on deep learning technique[J]. Chao Shang;Fan Yang;Dexian Huang;Wenxiang Lyu.Journal of Process Control,2014

A Bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses[J]. Jie Yu.Computers and Chemical Engineering,2012

Data-driven prediction of the product formation in industrial 2-keto-L-gulonic acid fermentation[J]. Lei Cui;Ping Xie;Junwei Sun.Computers & Chemical Engineering: An International Journal of Computer Applications in Chemical Engineering,2012