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Titlebook: Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and ; Yifan Zeng Book 2018 Springer Intern

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書(shū)目名稱Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and
編輯Yifan Zeng
視頻videohttp://file.papertrans.cn/829/828046/828046.mp4
概述Nominated as an outstanding Ph.D. thesis by the China University of Mining and Technology, Beijing.Discusses on mining safety.Proposes methods to overcome the defect of the traditional vulverability i
叢書(shū)名稱Springer Theses
圖書(shū)封面Titlebook: Research on Risk Evaluation Methods of Groundwater Bursting from Aquifers Underlying Coal Seams and ;  Yifan Zeng Book 2018 Springer Intern
描述This book provides an information fusion model with information fusion theory, geographic information system technology and modern mathematical methods to evaluate the risks of groundwater inrushes from aquifers underlying coal seams. In this new model, the water inrush vulnerable index was calculated with variable weights theory. It overcomes the defect of the traditional vulnerability index method that assumes constant weights for the factors controlling?the water inrush. Mine water inrush events often occur during coal mine construction and production; they account for a large proportion of the nation’s coal mine disasters and accidents in China. Between 2005 and 2014, 513 water inrush incidents have occurred with a total loss of 2,753 lives. As mining depths and mining intensity continue to increase, the hydrogeological conditions encountered are becoming more complex. The innovative model presented here was applied to two coal mines in China with proved better results than the traditional vulnerability index method.?.
出版日期Book 2018
關(guān)鍵詞North China Coalfield; Floor Water Inrushing Evaluation; Information fusion; Variable Weight Theory; Ord
版次1
doihttps://doi.org/10.1007/978-3-319-79029-9
isbn_softcover978-3-030-07709-9
isbn_ebook978-3-319-79029-9Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Yifan Zengn from autoencoders to generative adversarial networks (GANs).Explore variations of GAN.Understand the basics of other forms of content generation.Use advanced projects such as Faceswap, deepfakes, DeOldify, an978-1-4842-7091-2978-1-4842-7092-9
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