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Titlebook: Optimization in Machine Learning and Applications; Anand J. Kulkarni,Suresh Chandra Satapathy Book 2020 Springer Nature Singapore Pte Ltd.

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書目名稱Optimization in Machine Learning and Applications
編輯Anand J. Kulkarni,Suresh Chandra Satapathy
視頻videohttp://file.papertrans.cn/704/703256/703256.mp4
概述Presents current research on various applications of machine learning.Discusses optimization techniques to solve real problems.Serves as a reference resource for researchers and practitioners in acade
叢書名稱Algorithms for Intelligent Systems
圖書封面Titlebook: Optimization in Machine Learning and Applications;  Anand J. Kulkarni,Suresh Chandra Satapathy Book 2020 Springer Nature Singapore Pte Ltd.
描述This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions..
出版日期Book 2020
關(guān)鍵詞Optimization; Machine Learning; Metaheuristics; Heuristics; Classification; algorithm analysis and proble
版次1
doihttps://doi.org/10.1007/978-981-15-0994-0
isbn_softcover978-981-15-0996-4
isbn_ebook978-981-15-0994-0Series ISSN 2524-7565 Series E-ISSN 2524-7573
issn_series 2524-7565
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Mrunalini Jadhav,Kanchan Khare,Sayali Apte,Rushikesh Kulkarnithe major threatening water source from the coal seam floor.?In order to accomplish safe mining of the deep coal resources under water pressure,?the research on utilization and grouting reconstruction technology of the TOL is extremely urgent and imperative.
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Santosh Kumar Biswal,Nikhil Kumar Goudaing the water–energy–food nexus through emergy is proposed and exemplified. In this respect, emergy is an expression of all the energy used in the work processes that generate a service (water, energy, or food) in units of one type of energy (emjoules).
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Shaik Mahammad,E. S. Gopi,Vineetha Yogeshin addition to the characteristics of the reservoir and the operation of the dam, a principal component analysis EOF is performed to prioritize the variables that must be included in the operation policy of the dam. With the satellite images recorded every 15?min, the precipitation intensities of th
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ing the water–energy–food nexus through emergy is proposed and exemplified. In this respect, emergy is an expression of all the energy used in the work processes that generate a service (water, energy, or food) in units of one type of energy (emjoules).
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