Study on rapid determination method of ash content in wheat flour based on stochastic forest regression model
[Objective]To achieve rapid and accurate determination of ash content in wheat flour.[Methods]By preprocessing wheat raw materials and analyzing key influencing factors such as milling time and conductivity in depth,these factors were introduced as characteristic variables into a random forest regression model to construct a wheat flour ash content determination model.The final determination result was obtained by calculating the arithmetic mean,achieving rapid determination of ash content in wheat flour.[Results]The method was basically consistent with the actual results,with a measurement error of less than 0.01 g/100 g and a repeatability fluctuation difference of less than 0.01 g/100 g.The average measurement time was 24 minutes.[Conclusion]The experimental method has high measurement accuracy and repeatability,significantly improving the measurement efficiency.
万方数据
维普
