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Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the S Manoj Sahni,José M. Merigó,Rajkumar

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發(fā)表于 2025-3-21 20:03:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
副標(biāo)題Proceedings of the S
編輯Manoj Sahni,José M. Merigó,Rajkumar Verma
視頻videohttp://file.papertrans.cn/627/626362/626362.mp4
概述Presents research works in the field of computational intelligence techniques.Provides original works presented at MMCITRE 2021 held in Gandhinagar, India.Serves as a reference for researchers and pra
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the S Manoj Sahni,José M. Merigó,Rajkumar
描述This book presents new knowledge and recent developments in all aspects of computational techniques, mathematical modeling, energy systems, and applications of fuzzy sets and intelligent computing. The book is a collection of best selected research papers presented at the Second International Conference on “Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE 2021),” organized by the Department of Mathematics, Pandit Deendayal Petroleum University, in association with Forum for Interdisciplinary Mathematics. The book provides innovative works of researchers, academicians, and students in the area of interdisciplinary mathematics, statistics, computational intelligence, and renewable energy.
出版日期Conference proceedings 2022
關(guān)鍵詞Computational Intelligence Techniques; Decision Making and Expert Systems; Artificial Intelligence; Mac
版次1
doihttps://doi.org/10.1007/978-981-16-5952-2
isbn_softcover978-981-16-5951-5
isbn_ebook978-981-16-5952-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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ses and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.
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J. Catherine Grace John entity level, such as identifying which attributes changed most significantly in the members of a disappearing cluster. This paper presents a method to visualize migration paths and a framework to rank attributes based on the extent of change among selected entities. The method is evaluated using s
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Ruchi Telang Gode,Shahab Faruqi,Ashutosh Mishrafferent functions to evaluate molecules, this study adds three more, resulting in six evaluation functions compared to the Evolutionary Algorithm (EA)..Furthermore, DGN incorporates random numbers as input, and we discuss the impact of the degree of freedom of the input during the training phase. A
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Smita Sonkere case, the framework also helps guiding the user in revising rules or knowledge bases to restore the correspondence. We demonstrate the framework using cases from the European Court of Human Rights, and discuss possible improvements of this framework by integrating it with large language models suc
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