Sichuan Agricultural University Reports Findings in Machine Learning (Machine le arning-enhanced modeling and characterization for optimizing dietary Fiber produ ction from Highland barley bran)
Sichuan Agricultural University Reports Findings in Machine Learning (Machine le arning-enhanced modeling and characterization for optimizing dietary Fiber produ ction from Highland barley bran)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Ya’an, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“This study in vestigated the modification of highland barley bran through co-fermentation of L actobacillusbulgaricus and Kluyveromyces marxianus, and developed a dynamic pre diction model for DF content underthese co-fermentation conditions using machin e learning algorithms. The results showed that the XGBoostalgorithm could predi ct changes in the DF component content (R = 0.9553(SDF/IDF), RMSE = 0.0464.)and identify optimal fermentation conditions.”
Key words
Ya’an/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning
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