Dioxin emission modeling using feature selection and simplified DFR with residual error fitting for the grate-based MSWI process
Municipal solid waste incineration (MSWI) with grate technology is a widely applied waste-to-
energy process in various cities in China. Meanwhile, dioxins (DXN) are emitted at the stack …
energy process in various cities in China. Meanwhile, dioxins (DXN) are emitted at the stack …
[HTML][HTML] Making data classification more effective: An automated deep forest model
Despite a small overfitting risk, the deep forest model and its variants cannot automatically
match data features; they rely on manual experience and comparative experiments for forest …
match data features; they rely on manual experience and comparative experiments for forest …
城市固废焚烧过程智能优化控制研究现状与展望
汤健， 夏恒， 余文， 乔俊飞 - 自动化学报, 2023 - aas.net.cn
针对全球城市固废(Municipal solid waste, MSW) 的高增长率导致城市环境持续恶化以至于“
垃圾围城” 现象日益增多等问题, MSW 焚烧(MSW incineration, MSWI) 技术能够通过发酵, 燃烧 …
垃圾围城” 现象日益增多等问题, MSW 焚烧(MSW incineration, MSWI) 技术能够通过发酵, 燃烧 …
Virtual sample generation method based on generative adversarial fuzzy neural network
Key performance indicators of complex industrial process such as production quality and
pollutant emissions concentration are difficult to be measured online due to limited detection …
pollutant emissions concentration are difficult to be measured online due to limited detection …
Tree broad learning system for small data modeling
Broad learning system based on neural network (BLS-NN) has poor efficiency for small data
modeling with various dimensions. Tree-based BLS (TBLS) is designed for small data …
modeling with various dimensions. Tree-based BLS (TBLS) is designed for small data …
Takagi–sugeno fuzzy regression trees with application to complex industrial modeling
Fuzzy decision trees (FDTs) is one of the considerably excellent methods. Most of the
existing FDTs' methods are oriented to classification tasks. Applying FDTs to regression …
existing FDTs' methods are oriented to classification tasks. Applying FDTs to regression …
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization
Carbon monoxide (CO) is a toxic gas emitted during municipal solid waste incineration
(MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of …
(MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of …
多模态数据驱动的城市固废焚烧过程验证平台设计与实现
王天峥， 汤健， 夏恒， 潘晓彤， 乔俊飞… - 中国电机工程 …, 2022 - epjournal.csee.org.cn
鉴于城市固废焚烧(municipal solid waste incineration, MSWI) 过程控制系统的封闭特性与工业
现场的安全性要求, 如何实现离线多模态数据的时间同步发布和如何搭建数据驱动预测模型的类 …
现场的安全性要求, 如何实现离线多模态数据的时间同步发布和如何搭建数据驱动预测模型的类 …
[PDF][PDF] 基于Bagging 半监督深度森林回归的二噁英排放浓度软测量
徐雯， 汤健， 夏恒， 乔俊飞 - 仪器仪表学报, 2022 - emt.cnjournals.com
城市固废焚烧(MSWI) 过程产生的副产品之一是被称为“世纪之毒” 的二噁英(DXN),
受限于其排放浓度检测技术难度以及时间与经济成本等因素, 难以获得足量的有标记样本用于 …
受限于其排放浓度检测技术难度以及时间与经济成本等因素, 难以获得足量的有标记样本用于 …
Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven
Carbon monoxide (CO) is a hazardous gas discharged during municipal solid waste
incineration (MSWI). Its emission concentration serves as a vital indicator for assessing the …
incineration (MSWI). Its emission concentration serves as a vital indicator for assessing the …