ACERS, THE AMERICAN CERAMIC SOCIETY Challenges in artificial intelligence and machine learning for glass science

Glass Machinery Plants amp; Accessories group

首页> 外文期刊>Glass Machinery Plants & Accessories >ACERS, THE AMERICAN CERAMIC SOCIETY Challenges in artificial intelligence and machine learning for glass science

【24h】

ACERS, THE AMERICAN CERAMIC SOCIETY Challenges in artificial intelligence and machine learning for glass science

机译：宏碁，美国陶瓷学会人工智能和机器学习挑战玻璃科学

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The traditional trial-and-error methodology for discovering glasses is the main reason for the limited knowledge on glass compositions. It is highly time-consuming, inefficient, and can be risky for industrial applications (for example, it may not produce the desired result).

机译：None

著录项

来源
《Glass Machinery Plants & Accessories》 |2021年第3期|共4页
作者
Glass Machinery Plants amp; Accessories group;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类硅酸盐工业;
关键词

相似文献

外文文献
中文文献
专利

1. The Emergence of New Business and Operating Models under the Industrial Digital Paradigm.Industrial Internet of Things,Platforms,and Artificial Intelligence/Machine Learning [J] . Federico Walas Mateo, Andres Redchuk 机械工程与自动化：英文版 . 2021,第002期
2. Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology [J] . Turner Oliver C., Aeffner Famke, Bangari Dinesh S., Toxicologic pathology . 2020,第2期

机译：毒理病理学社会数字病理学和形象分析特殊兴趣小组文章*：关于人工智能和机器学习应用对数字毒理病理学的意见
3. Engineering and clinical use of artificial intelligence (AI) with machine learning and data science advancements: radiology leading the way for future [J] . B.M. Zeeshan Hameed, Gayathri Prerepa, Vathsala Patil, Therapeutic advances in urology. . 2021,第a期

机译：人工智能（AI）工程与临床应用，具有机器学习和数据科学推进：未来的放射学
4. Guest Editorial: Special Issue on Artificial Intelligence, Machine Learning, Data Science, and Libraries [J] . Yongming Wang International Journal of Librarianship . 2020,第1期

机译：客人编辑：人工智能，机器学习，数据科学和图书馆的特殊问题
5. Deductively verifying embedded software in the era of artificial intelligence = machine learning + software science [C] . Satoshi Yamane IEEE Global Conference on Consumer Electronics . 2017

机译：在人工智能时代演绎地验证嵌入式软件=机器学习+软件科学
6. Artificial Intelligence and Machine Learning for Control and Operation of Electric Vehicles and Machine Drives [D] . Dong, Weizhen. 2021

机译：用于控制和运行电动汽车和机器驱动的人工智能和机器学习
7. New ethical challenges of digital technologies machine learning and artificial intelligence in public health: a call for papers [O] . Diana Zandi, Andreas Reis, Effy Vayena, 2019

机译：数字技术机器学习和人工智能在公共卫生中面临的新的道德挑战：征集论文
8. Machine Learning in Python: Main Developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence [O] . Sebastian Raschka, Joshua Patterson, Corey Nolet 2020

机译：Python的机器学习：数据科学，机器学习和人工智能的主要发展和技术趋势
9. AAAI (American Association on Artificial Intelligence) Workshop on AI (Artificial Intelligence) Simulation Held in Philadelphia, Pennsylvania on August 11, 1986 [R] . Gerstenfeld, A., Modjeski, R., Reddy, Y. V., 1986

机译：aaaI（美国人工智能协会）aI（人工智能）模拟研讨会于1986年8月11日在宾夕法尼亚州费城举行

ACERS, THE AMERICAN CERAMIC SOCIETY Challenges in artificial intelligence and machine learning for glass science

摘要

著录项

相似文献

相关主题

期刊订阅