Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics
出版年份 2021 全文链接
标题
Machine learning prediction of pyrolytic gas yield and compositions with feature reduction methods: Effects of pyrolysis conditions and biomass characteristics
作者
关键词
Biomass pyrolysis, Gas, Machine learning, Feature reduction, Prediction
出版物
BIORESOURCE TECHNOLOGY
Volume 339, Issue -, Pages 125581
出版商
Elsevier BV
发表日期
2021-07-17
DOI
10.1016/j.biortech.2021.125581
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。- Biofuels for a sustainable future
- (2021) Yuzhong Liu et al. CELL
- Current status of biohydrogen production from lignocellulosic biomass, technical challenges and commercial potential through pyrolysis process
- (2021) Wei-Hsin Chen et al. ENERGY
- Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials
- (2020) Yating Kang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Progress in waste valorization using advanced pyrolysis techniques for hydrogen and gaseous fuel production
- (2020) Shin Ying Foong et al. BIORESOURCE TECHNOLOGY
- Recent Progress in Quantum Chemistry Modeling on the Pyrolysis Mechanisms of Lignocellulosic Biomass
- (2020) Bin Hu et al. ENERGY & FUELS
- Current challenges and innovative developments in pretreatment of lignocellulosic residues for biofuel production: A review
- (2020) Bilal Beig et al. FUEL
- Fast pyrolysis characteristics of two typical coastal zone biomass fuels by thermal gravimetric analyzer and down tube reactor
- (2019) Jie Li et al. BIORESOURCE TECHNOLOGY
- Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
- (2019) Xinzhe Zhu et al. BIORESOURCE TECHNOLOGY
- A comprehensive study on estimating higher heating value of biomass from proximate and ultimate analysis with machine learning approaches
- (2019) Jiangkuan Xing et al. ENERGY
- Prediction of product distribution and bio-oil heating value of biomass fast pyrolysis
- (2018) Xing Chen et al. CHEMICAL ENGINEERING AND PROCESSING
- Production, upgradation and utilization of solar assisted pyrolysis fuels from biomass – A technical review
- (2018) Venkateswarlu Chintala RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Biomass pyrolysis: past, present, and future
- (2018) Tamer Y. A. Fahmy et al. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
- Screening Priority Factors Determining and Predicting the Reproductive Toxicity of Various Nanoparticles
- (2018) Zhan Ban et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- Comparative pyrolysis behaviors and reaction mechanisms of hardwood and softwood
- (2017) Yanming Ding et al. ENERGY CONVERSION AND MANAGEMENT
- Fixed bed pyrolysis of lemongrass (Cymbopogon flexuosus): Bio-oil production and characterization
- (2017) P. Madhu et al. Energy Sources Part A-Recovery Utilization and Environmental Effects
- Prediction of biochar yield from cattle manure pyrolysis via least squares support vector machine intelligent approach
- (2016) Hongliang Cao et al. BIORESOURCE TECHNOLOGY
- Bio-oil production of softwood and hardwood forest industry residues through fast and intermediate pyrolysis and its chromatographic characterization
- (2016) Isadora Dalla Vecchia Torri et al. BIORESOURCE TECHNOLOGY
- Pyrolysis products from industrial waste biomass based on a neural network model
- (2016) Yifei Sun et al. JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
- Lignocellulosic biomass pyrolysis: A review of product properties and effects of pyrolysis parameters
- (2016) Tao Kan et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Comparative study on pyrolysis of lignocellulosic and algal biomass using a thermogravimetric and a fixed-bed reactor
- (2015) Ting Yuan et al. BIORESOURCE TECHNOLOGY
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape
- (2015) Kennedy Were et al. ECOLOGICAL INDICATORS
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Effects of heating rate on slow pyrolysis behavior, kinetic parameters and products properties of moso bamboo
- (2014) Dengyu Chen et al. BIORESOURCE TECHNOLOGY
- Phycoremediation coupled production of algal biomass, harvesting and anaerobic digestion: Possibilities and challenges
- (2013) Sanjeev Kumar Prajapati et al. BIOTECHNOLOGY ADVANCES
- A study of lignocellulosic biomass pyrolysis via the pyrolysis of cellulose, hemicellulose and lignin
- (2013) Stylianos D. Stefanidis et al. JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
- Effects of pyrolysis parameters on hydrogen formations from biomass: a review
- (2013) Md. Nasir Uddin et al. RSC Advances
- A review on operating parameters for optimum liquid oil yield in biomass pyrolysis
- (2012) Javaid Akhtar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Experimental Study of Biomass Pyrolysis Based on Three Major Components: Hemicellulose, Cellulose, and Lignin
- (2011) Tingting Qu et al. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
- Current technologies for analysis of biomass thermochemical processing: A review
- (2009) Mi-Kyung Bahng et al. ANALYTICA CHIMICA ACTA
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started