数学建模、机器学习和智能计算在工业发展中的应用(True EPUB)
The text focuses on mathematical modeling and applications of advanced techniques of machine learning, and artificial intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics. The book-
Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and internet of things networks with intelligent gateways. Covers advanced machine learning, artificial intelligence, fuzzy sys- tems, evolutionary computing, and data mining techniques for real- world problems. Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases. Highlights advances in mathematical modeling, strength, and benefits of machine learning and artificial intelligence, including driving goals, applicability, algorithms, and processes involved. Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach. The text presents emerging real-life topics on mathematical models, machine learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.
英文| 2023 |国际标准图书编号:978-1032392646 | 512页|真正的EPUB | 42.35 MB 本文重点介绍机器学习和人工智能的数学建模和应用,包括人工神经网络、进化计算、数据挖掘和模糊系统,以更精确地解决性能和设计问题。智能计算包括为各种问题提供有效和高效解决方案的技术、算法和模型,包括机场的智能安全系统。它将成为工业工程、制造工程、计算机工程和数学等领域的高级本科生、研究生和学术研究人员的理想参考文本。书- 讨论交通、可持续供应链、车载Ad Hoc网络和具有智能网关的物联网的数学建模。涵盖了先进的机器学习、人工智能、模糊系统、进化计算和现实世界问题的数据挖掘技术。介绍了数学模型在肾脏和冠状动脉疾病等慢性疾病中的应用。重点介绍机器学习和人工智能在数学建模、优势和好处方面的进展,包括驱动目标、适用性、算法和所涉及的过程。使用跨学科的方法展示数学模型、机器学习和智能计算等新兴的现实生活主题。本文在一本书中介绍了数学模型、机器学习和智能计算等新兴的现实生活主题。它将成为高年级本科生、研究生和不同领域研究人员的理想教材,包括工业和制造工程、计算机工程和数学。本站不对文件进行储存,仅提供文件链接,请自行下载,本站不对文件内容负责,请自行判断文件是否安全,如发现文件有侵权行为,请联系管理员删除。
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