Machine Learning Algorithms and Applications in Engineering

Chatterjee, Prasenjit, Yazdani, Morteza, Fernández-Navarro, Francisco

Machine Learning Algorithms and Applications in Engineering
  • 出版商: CRC
  • 出版日期: 2023-02-28
  • 售價: $5,540
  • 貴賓價: 9.5 折 $5,263
  • 語言: 英文
  • 頁數: 314
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367569124
  • ISBN-13: 9780367569129
  • 相關分類: Machine Learning、Algorithms-data-structures

    • 海外代購書籍(需單獨結帳)

商品描述

Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks.

商品描述(中文翻譯)

機器學習（Machine Learning，簡稱ML）是人工智慧的一個子領域，利用軟計算和演算法使電腦能夠自主學習並識別觀察到的數據中的模式，建立能解釋世界並預測事物的模型，而無需明確的預先編程規則和模型。本書討論了機器學習在工程領域的各種應用，以及在解決從生物醫學、交通運輸、供應鏈和物流到製造和工業等各種具有挑戰性的工程問題中使用機器學習演算法。通過眾多案例研究，本書將幫助研究人員和從業人員選擇正確的選項和策略來管理組織任務。

作者簡介

Prasenjit Chatterjee is an Associate Professor of Mechanical Engineering Department at MCKV Institute of Engineering, India. He has published over 80 research papers in various international journals and has received numerous awards including Outstanding Researcher Award and University Gold Medal. He has been the Guest Editor of several special issues and has edited and authored several books on decision-making approaches and sustainability. He is the Lead Series Editor of International Perspectives on Decision Analysis and Operations Research, Emerald Group Publishing. Dr. Chatterjee is one of the developers of a new data-driven multiple-criteria decision-making method called Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS).
Morteza Yazdani works at Universidad Loyola Andalucia, Spain. Previously he finished his post-doctoral research at the University of Toulouse and was a lecturer the European University of Madrid. He participates in the editorial board of the International Journal of Decision Support System Technology and is a reviewer in different journals. His main research areas are decision-making modelling and fuzzy decision system in application of supply chain and energy systems and has published several journal articles.
Francisco de Asís Fernández Navarro has earned his PhD in Computer Science and Artificial Intelligence from the University of Malaga, Spain. He also obtained a degree in Market Research from the Open University of Catalonia (UOC). He was awarded at the European Space Agency Noordwijk, The Netherlands with a postdoctoral fellowship in computational management and currently works as an Associate Professor at the Loyola University of Andalusia, Department of Quantitative Methods.
Javier Pérez-Rodríguez earned his PhD in ICT from the University of Granada, Spain. In 2018 he joined the Department of Quantitative Methods at the University of Loyola, Andalucía as an Associate Professor. His research is focused on Computer Science and Artificial Intelligence and Bioinformatics. Within the area of machine learning, specifically, his works have been about pattern recognition and classification and has published several papers in reputable journals. His residency at the Institut für Mathematik und Informatik of the University of Greifswald, Germany was with Professor Stanke, who develops and maintains one of the most prestigious automatic gene recognition systems at present at an international level.

作者簡介(中文翻譯)

Prasenjit Chatterjee是印度MCKV工程學院機械工程系的副教授。他在各種國際期刊上發表了80多篇研究論文，並獲得了包括傑出研究員獎和大學金牌獎在內的眾多獎項。他曾擔任多個特刊的客座編輯，並編輯和撰寫了幾本關於決策方法和可持續性的書籍。他是Emerald Group Publishing的《國際決策分析和運營研究》系列主編之一。Chatterjee博士是一種名為MARCOS（基於妥協解的替代方案測量和排名）的新型數據驅動多準則決策方法的開發者之一。

Morteza Yazdani在西班牙的Loyola Andalucia大學工作。他之前在圖盧茲大學完成了博士後研究，並在歐洲馬德里大學擔任講師。他參與了《國際決策支持系統技術期刊》的編輯委員會，並擔任不同期刊的審稿人。他的主要研究領域是決策建模和模糊決策系統在供應鏈和能源系統應用中的應用，並發表了幾篇期刊文章。

Francisco de Asís Fernández Navarro在西班牙馬拉加大學獲得了計算機科學和人工智能的博士學位。他還在加泰羅尼亞開放大學獲得了市場研究學位。他在荷蘭的歐洲太空總署獲得了計算管理的博士後研究獎學金，目前在安達魯西亞洛約拉大學的量化方法系擔任副教授。

Javier Pérez-Rodríguez在西班牙格拉納達大學獲得了信息和通信技術的博士學位。2018年，他作為副教授加入了安達魯西亞洛約拉大學的量化方法系。他的研究專注於計算機科學、人工智能和生物信息學。在機器學習領域，他的研究主要集中在模式識別和分類上，並在知名期刊上發表了幾篇論文。他在德國格賴夫斯瓦爾德大學的數學和計算機科學研究所的居住期間與Stanke教授合作，該教授目前開發和維護著國際上最負盛名的自動基因識別系統之一。

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