Robotics & Machine Learning Daily News2024,Issue(Aug.20) :18-18.

New Findings on Machine Learning Described by Investigators at University of Mic hoacana (Process Systems Engineering Tools for Optimization of Trained Machine L earning Models: Comparative and Perspective)

Robotics & Machine Learning Daily News2024,Issue(Aug.20) :18-18.

New Findings on Machine Learning Described by Investigators at University of Mic hoacana (Process Systems Engineering Tools for Optimization of Trained Machine L earning Models: Comparative and Perspective)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting originatingin Michoacan, Mexico, by New sRx journalists, research stated, “This article studies the relevanceof innovat ive Process Systems Engineering (PSE) tools that can reformulate trained machine learningmodels that are driven by advances in computational technologies, show casing a pivotal transformationin chemical engineering methodologies. The artic le also delves into how trained machine learning modelsare reformulated and opt imized to refine engineering decisions as it provides a novel analysis of tools todevelop machine learning models by reformulating them, and optimizing them in PSE, thus highlightingtheir significance and applications.”

Key words

Michoacan/Mexico/North and Central Ame rica/Cyborgs/Emerging Technologies/Engineering/Machine Learning/University of Michoacana

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文