Robotics & Machine Learning Daily News2024,Issue(Jun.11) :67-67.

Shaoxing University Reports Findings in Machine Learning (Continuous Flow Proces s Optimization Aided By Machine Learning for a Pharmaceutical Intermediate)

绍兴大学报告机器学习的发现(连续流过程在药物中间体机器学习辅助下的优化)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :67-67.

Shaoxing University Reports Findings in Machine Learning (Continuous Flow Proces s Optimization Aided By Machine Learning for a Pharmaceutical Intermediate)

绍兴大学报告机器学习的发现(连续流过程在药物中间体机器学习辅助下的优化)

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据NewsRx编辑对中国人民代表大会绍兴的新闻报道,研究表明:“在本文中,”本文利用机器学习方法对奈莫沙星生产过程中手性中间体的连续流动过程进行了优化,以29个实验数据为基础,考虑6个重要变量,实现了手性甲基结构的良好产率和对映选择性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Shaoxing, People’s Rep ublic of China, by NewsRx editors, research stated, “In this paper, we demonstra te the use of machine learning to optimize the continuous flow process of a cruc ial intermediate in the production of Nemonoxacin. Our focus is to achieve the g ood yield and enantioselectivity in the construction of chiral methyl group util ize the initial 29 experimental datasets and consider six important variables.”

Key words

Shaoxing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shaoxing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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