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Titlebook: Life-Cycle Management of Machines and Mechanisms; J?rg Niemann,Adrian Pisla Book 2021 Springer Nature Switzerland AG 2021 Digital Age.Life

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發(fā)表于 2025-3-21 19:49:18 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Life-Cycle Management of Machines and Mechanisms
編輯J?rg Niemann,Adrian Pisla
視頻videohttp://file.papertrans.cn/586/585913/585913.mp4
概述Written with beginning practitioners in mind, whereas the existing literature is mostly dedicated to companies and trained specialists.Shows that the combination of managerial and engineering aspects
叢書名稱Mechanisms and Machine Science
圖書封面Titlebook: Life-Cycle Management of Machines and Mechanisms;  J?rg Niemann,Adrian Pisla Book 2021 Springer Nature Switzerland AG 2021 Digital Age.Life
描述This book contains the description of machines and systems as investments goods in production. These machines have a technological and economical life cycle over the time used. By explaining the paradigms of life cycle management, the book describes how the life cycle of such investment goods can be designed, operated and optimized to deliver maximum benefit in industrial environment. Additional examples from industry including case studies and calculations demonstrate practical applications and deliver benefit not only for academic or educational purpose but also for industrial practitioners.
出版日期Book 2021
關(guān)鍵詞Digital Age; Life Cycle Management; Life-time Value; PLM Engineering Design; Product Life Cycle
版次1
doihttps://doi.org/10.1007/978-3-030-56449-0
isbn_ebook978-3-030-56449-0Series ISSN 2211-0984 Series E-ISSN 2211-0992
issn_series 2211-0984
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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發(fā)表于 2025-3-22 00:03:48 | 只看該作者
ly used in theoretical studies and research to evaluate the performance of models, but they are still far from being implemented in real applications. So, we develop three new automatized strategies to ease the selection of soft computing models using data from industrial processes. A rubber product
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J?rg Niemann,Adrian Pislain) in September 2017..Soft computing represents a collection of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze highly complex issues and phenomena..These proceeding.s feature 48 papers from the 12.th. SOCO 2
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發(fā)表于 2025-3-22 12:23:19 | 只看該作者
J?rg Niemann,Adrian Pislain) in September 2017..Soft computing represents a collection of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze highly complex issues and phenomena..These proceeding.s feature 48 papers from the 12.th. SOCO 2
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發(fā)表于 2025-3-22 13:23:56 | 只看該作者
J?rg Niemann,Adrian Pislain) in September 2017..Soft computing represents a collection of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze highly complex issues and phenomena..These proceeding.s feature 48 papers from the 12.th. SOCO 2
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發(fā)表于 2025-3-22 19:33:11 | 只看該作者
J?rg Niemann,Adrian Pislafor information systems, and European transnational educatio.This volume includes papers presented at SOCO 2017, CISIS 2017, and ICEUTE 2017, all conferences held in the beautiful and historic city of León (Spain) in September 2017..Soft computing represents a collection of computational techniques
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發(fā)表于 2025-3-23 07:51:37 | 只看該作者
J?rg Niemann,Adrian Pislaficulties due to the difference in the number of objects in the examined classes, rendering traditional, accuracy driven machine learning methods useless. With many modern real-life applications being examples of imbalanced data classification i.e. fraud detection, medical diagnosis, oil-spills dete
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