Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results
出版年份 2022 全文链接
标题
Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results
作者
关键词
Supercritical water, Lignite gasification, BP neural Network, Product prediction
出版物
ENERGY
Volume 246, Issue -, Pages 123306
出版商
Elsevier BV
发表日期
2022-01-25
DOI
10.1016/j.energy.2022.123306
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- An artificial-neural-network based prediction of heat transfer behaviors for in-tube supercritical CO2 flow
- (2021) Feng Sun et al. APPLIED SOFT COMPUTING
- Biochar production by coconut shell gasification in supercritical water and evolution of its porous structure
- (2021) Cui Wang et al. JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
- The effect of particle wake on the heat transfer characteristics between interactive particles in supercritical water
- (2021) Xiaoyu Li et al. CHEMICAL ENGINEERING SCIENCE
- Sewage sludge gasification in supercritical water with fluidized bed reactor: Reaction and product characteristics
- (2021) Yunan Chen et al. ENERGY
- Predicting co-pyrolysis of coal and biomass using machine learning approaches
- (2021) Hao Wei et al. FUEL
- Numerical investigation of heat transfer characteristics between two particles and supercritical water
- (2021) Xiaoyu Li et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Catalytic supercritical water gasification mechanism of coal
- (2020) Zhiwei Ge et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A numerical study on gasification of a single char particle in supercritical water for hydrogen production
- (2020) Chao Fan et al. FUEL
- Study on gasification mechanism of biomass waste in supercritical water based on product distribution
- (2020) Cui Wang et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning
- (2020) Jie Li et al. APPLIED ENERGY
- Hydrogen production by supercritical water gasification of coal: A reaction kinetic model including nitrogen and sulfur elements
- (2020) Shanke Liu et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
- (2019) Emine Elmaslar Ozbas et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Investigation of hydrogen diffusion in supercritical water: A molecular dynamics simulation study
- (2019) Xiao Zhao et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Predictive modeling of biomass gasification with machine learning-based regression methods
- (2019) Furkan Elmaz et al. ENERGY
- A hybrid SVR-PSO model to predict a CFD-based optimised bubbling fluidised bed pyrolysis reactor
- (2019) Salman Jalalifar et al. ENERGY
- Experimental study on gasification performance of polypropylene (PP) plastics in supercritical water
- (2019) Bin Bai et al. ENERGY
- Numerical study of H2, CH4, CO, O2 and CO2 diffusion in water near the critical point with molecular dynamics simulation
- (2019) Xiao Zhao et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Heat transfer prediction of supercritical water with artificial neural networks
- (2018) Wanli Chang et al. APPLIED THERMAL ENGINEERING
- Evolution of pore structure and produced gases of Zhundong coal particle during gasification in supercritical water
- (2018) Hui Jin et al. JOURNAL OF SUPERCRITICAL FLUIDS
- Supercritical water gasification of biomass for hydrogen production – Review
- (2018) Catalina Rodriguez Correa et al. JOURNAL OF SUPERCRITICAL FLUIDS
- An artificial intelligence based approach to predicting syngas composition for downdraft biomass gasification
- (2018) Ali Yener Mutlu et al. ENERGY
- The resource utilization of ABS plastic waste with subcritical and supercritical water treatment
- (2018) Yigang Liu et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Predictive single-step kinetic model of biomass devolatilization for CFD applications: A comparison study of empirical correlations (EC), artificial neural networks (ANN) and random forest (RF)
- (2018) Jiangkuan Xing et al. RENEWABLE ENERGY
- Prediction of heat transfer to supercritical water at different boundary conditions
- (2018) X. Cheng et al. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Experimental investigation on gasification characteristics of plastic wastes in supercritical water
- (2018) Bin Bai et al. RENEWABLE ENERGY
- Supercritical water heat transfer coefficient prediction analysis based on BP neural network
- (2017) Dongliang Ma et al. NUCLEAR ENGINEERING AND DESIGN
- Investigation on the drag coefficient of supercritical water flow past sphere-particle at low reynolds numbers
- (2017) Zhenqun Wu et al. Thermal Science
- Solubility prediction of disperse dyes in supercritical carbon dioxide and ethanol as co-solvent using neural network
- (2016) Ahmad KhazaiePoul et al. CHINESE JOURNAL OF CHEMICAL ENGINEERING
- Investigation on linear description of the char conversion for the process of supercritical water gasification of Yimin lignite
- (2016) Hui Jin et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Hydrogen production by Zhundong coal gasification in supercritical water
- (2015) Hui Jin et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Hydrogen Production by Catalytic Gasification of Coal in Supercritical Water
- (2014) Rihua Lan et al. ENERGY & FUELS
- An Adaptive Random Pore Model for Multimodal Pore Structure Evolution with Application to Char Gasification
- (2011) Simcha L. Singer et al. ENERGY & FUELS
- Supercritical water oxidation of coal: Investigation of operating parameters' effects, reaction kinetics and mechanism
- (2010) Shuzhong Wang et al. FUEL PROCESSING TECHNOLOGY
- Review of catalytic supercritical water gasification for hydrogen production from biomass
- (2009) Y. Guo et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Hydrogen production by biomass gasification in supercritical water with a fluidized bed reactor
- (2008) Y LU et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Near critical and supercritical water. Part I. Hydrolytic and hydrothermal processes
- (2008) G. Brunner JOURNAL OF SUPERCRITICAL FLUIDS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started