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Titlebook: Computational Intelligence and Big Data Analytics; Applications in Bioi Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Book 2019 The Au

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書目名稱Computational Intelligence and Big Data Analytics
副標(biāo)題Applications in Bioi
編輯Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G.
視頻videohttp://file.papertrans.cn/233/232414/232414.mp4
叢書名稱SpringerBriefs in Applied Sciences and Technology
圖書封面Titlebook: Computational Intelligence and Big Data Analytics; Applications in Bioi Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G.  Book 2019 The Au
描述.This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains..
出版日期Book 2019
關(guān)鍵詞Data Mining; Machine Learning; Nanoinformatics; Neural Networks; Human-centric Computing; Information Pro
版次1
doihttps://doi.org/10.1007/978-981-13-0544-3
isbn_softcover978-981-13-0543-6
isbn_ebook978-981-13-0544-3Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s) 2019
The information of publication is updating

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,“Damn, I wish I still had story time.” ,nd causes voltage reduction and losses in the distribution network. In current years, the utilization of DG?technologies has extremely inflated worldwide as a result of?their potential?benefits. Optimal sizing and location of DG units near to the load centers provide an effective solution for reduci
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