林产化学与工业2024，Vol.44Issue(6)：1-10,10.DOI:10.3969/j.issn.0253-2417.2024.06.001
机器学习在生物质烘焙研究中的现状及展望
The Current Status and Prospects of Machine Learning in Biomass Torrefaction Research
摘要
Abstract
Biomass resources were abundant.After torrefaction pretreatment,machine learning(ML)was used to classify torrefied biomass as fuel to realize the large-scale application of biomass energy.This paper introduced the application of machine learning algorithms in the fields of medical diagnosis,image recognition and natural language processing,etc.,and focused on the prediction of product energy and solid product yield of torrefied biomass.Finally,according to the mutual transformation of ML classification and prediction,the prospects of applying ML classification techniques to the rorrefied biomass classification in the future was proposed.关键词
生物质烘焙/机器学习/原料分类Key words
biomass torrefaction/machine learning/raw material classification分类
化学化工引用本文复制引用
刘海云,孙云娟,徐卫,陈义峰,汪东,黄萍..机器学习在生物质烘焙研究中的现状及展望[J].林产化学与工业,2024,44(6):1-10,10.基金项目
国家重点研发计划资助项目(2022YFB4202001) （2022YFB4202001）
江苏省生物质能源与材料重点实验室基本科研业务费(JSBEM-S-202324) （JSBEM-S-202324）
