Studies from Science University of Malaysia Add New Findings in the Area of Mach ine Learning (Modelling and Optimizing Secondary Metabolites Production In spiro dela Polyrhiza Using Machine Learning)
马来西亚科学大学的研究增加了机器学习领域的新发现（利用机器学习对Spiro dela polygrachia次级代谢产物生产进行建模和优化）
Studies from Science University of Malaysia Add New Findings in the Area of Mach ine Learning (Modelling and Optimizing Secondary Metabolites Production In spiro dela Polyrhiza Using Machine Learning)
马来西亚科学大学的研究增加了机器学习领域的新发现（利用机器学习对Spiro dela polygrachia次级代谢产物生产进行建模和优化）
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 from Pulau Pinang, Malaysia, by NewsRx journalists, research stated, “Spirodela. polyrhiza asone of the pote ntial feedstocks for industrial natural dye and pharmaceutical products, efficie nt processto produce from it were scarce. Here, Artificial Neural Network (ANN) and Genetic Algorithm (GA) wereemployed for modelling and optimization respect ively.”
Key words
Pulau Pinang/Malaysia/Asia/Cyborgs/E merging Technologies/Machine Learning/Science University of Malaysia
NETL
NSTL