分析光谱学中的人工智能，第一部分:基本概念和讨论

IF 0.8 4区化学 Q4 SPECTROSCOPY

Spectroscopy Pub Date : 2023-02-01 DOI:10.56530/spectroscopy.og4284z8

Jerry Workman, H. Mark

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引用次数: 0

摘要

人工智能(AI)及其子领域机器学习(ML)是当今科技界的主要流行语。在这个由两部分组成的系列文章中，让我们开始看看幕后和幕后，看看人工智能是什么，以及它在分析化学和光谱学中的适用性，以供将来的讨论和阐述。人工智能的好处和局限性是什么，以及它的优点和缺点是什么?人工智能与化学计量学有什么关系?

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Artificial Intelligence in Analytical Spectroscopy, Part I: Basic Concepts and Discussion

Artificial intelligence (AI), and its subfield machine learning (ML), are major buzzwords in today’s technology world. In a two-part series, let’s begin to take a look under the hood and behind the scenes to see what AI is and its applicability to analytical chemistry and spectroscopy for future discussion and elaboration. What are the benefits and limitations, as well as the praises and detractions, of AI? How does AI relate to chemometrics?

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来源期刊

Spectroscopy 物理-光谱学

CiteScore

1.10

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Spectroscopy welcomes manuscripts that describe techniques and applications of all forms of spectroscopy and that are of immediate interest to users in industry, academia, and government.