The support vector machine(SVM)classification model optimized by cross validation(CV)and genetic algorithm(GA)was used to predict the combustion characteristic of mixed biomass

and a simple calculation formula for comprehensive combustion characteristic index was derived

based on the industry analysis of single biomass.The model applies the proximate analysis data as the input and the combustion characteristic based label as the output

and the single biomass data was used to train the model.It is found that

the mixed biomass combustion characteristic can be predicted quickly and accurately by support vector machine model optimized by cross validation and genetic algorithm(CV-GA-SVM)

whose accuracy rate is 100% and the running time is 4.4 s;the average absolute error of the formula is 1.68.