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Machine learning prediction of higher heating value of biomass
Zuocai Dai
, Zhengxian Chen
,
Abdellatif Selmi
, Kittisak Jermsittiparsert
, Nebojša M. Denić
, Zoran Nеšić
Civil Engineering
Hunan City University
Key Laboratory Energy Monitoring and Edge Computing for Smart City of Hunan Province
Columbia University
Duy Tan University
Henan University of Economics and Law
University of Priština (North Mitrovica)
University in Kragujevac
Research output
:
Contribution to journal
›
Article
›
peer-review
15
Scopus citations
Overview
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Engineering
Learning System
100%
High Heating Value
100%
Energy Application
33%
Extreme Learning Machine
33%
Nonlinearity
16%
Root Mean Square Error
16%
Feedforward
16%
Neural Network Architecture
16%
Learning Approach
16%
Fixed Carbon
16%
Chemical Engineering
Learning System
100%
Feedforward Neural Network
16%