Smart Innovations in Energy and Mechanical Systems: Proceedings of Siems-2025
暫譯: 能源與機械系統的智慧創新:Siems-2025 會議論文集
Pavlenko, Dmytro, Tryshyn, Pavlo, Honchar, Natalia
- 出版商: Springer
- 出版日期: 2025-07-16
- 售價: $8,710
- 貴賓價: 9.5 折 $8,275
- 語言: 英文
- 頁數: 338
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031951905
- ISBN-13: 9783031951909
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相關分類:
Machine Learning、電機學 Electric-machinery
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相關主題
商品描述
This book appeals to researchers and professionals working in the field of artificial neural networks. It offers insights into the application of neural networks in engineering contexts, providing valuable case studies and methodologies for those looking to bridge the gap between AI theory and practical engineering solutions. Engineers and technicians involved in additive manufacturing will find relevant content in this book. It covers advanced techniques and applications of 3D printing in aerospace and mechanical engineering, offering a unique perspective on how these technologies are shaping the future of manufacturing. The book caters to professionals and students focusing on machine learning and artificial intelligence, particularly in industrial applications. It demonstrates how these technologies are being integrated into energy systems and mechanical engineering, providing real-world examples and potential future directions. Robotics enthusiasts and engineers will benefit from the book's coverage of cutting-edge developments in industrial and aerospace robotics. It offers insights into autonomous systems, control algorithms, and the integration of robotics in smart manufacturing environments. Graduate and undergraduate students in STEM fields beyond traditional engineering, such as computer science or data science, will find value in the book's interdisciplinary approach. It showcases how advanced computational methods are applied to solve complex engineering problems. This book is of interest to enterprises that are involved in the implementation of green energy technologies, resource-saving technologies, and support the concept of decarbonization of the energy system.
商品描述(中文翻譯)
本書吸引了從事人工神經網絡領域的研究人員和專業人士。它提供了神經網絡在工程背景下應用的見解,為那些希望縮小人工智慧理論與實際工程解決方案之間差距的人提供了有價值的案例研究和方法論。
參與增材製造的工程師和技術人員將在本書中找到相關內容。它涵蓋了3D列印在航空航天和機械工程中的先進技術和應用,提供了這些技術如何塑造製造未來的獨特視角。
本書適合專注於機器學習和人工智慧的專業人士和學生,特別是在工業應用方面。它展示了這些技術如何融入能源系統和機械工程,提供了現實世界的例子和潛在的未來方向。
對於機器人愛好者和工程師來說,本書涵蓋了工業和航空航天機器人領域的前沿發展,提供了對自主系統、控制算法以及機器人在智慧製造環境中整合的見解。
在傳統工程以外的STEM領域(如計算機科學或數據科學)的研究生和本科生將會發現本書的跨學科方法具有價值。它展示了先進計算方法如何應用於解決複雜的工程問題。
本書對於參與綠色能源技術、資源節約技術實施的企業,以及支持能源系統脫碳概念的企業也具有興趣。