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