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008			211012s2022 si | s |||| 0|eng d
020			_a9789811668357
024	7		_a10.1007/978-981-16-6835-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQE48.8 _b2022 EB
100	1		_aZhang, Wengang _eautor _9687195
245	1	0	_aApplication of Soft Computing, Machine Learning, Deep Learning and Optimizations in Geoengineering and Geoscience _cby Wengang Zhang, Yanmei Zhang, Xin Gu, Chongzhi Wu, Liang Han
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 138 páginas) _b76 ilustraciones, 66 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aIntroduction -- Methods -- Applications -- Future Applications.
520			_aThis book summarizes the application of soft computing techniques, machine learning approaches, deep learning algorithms and optimization techniques in geoengineering including tunnelling, excavation, pipelines, etc. and geoscience including the geohazards, rock and soil properties, etc. The book features state-of-the-art studies on use of SC,ML,DL and optimizations in Geoengineering and Geoscience. Considering these points and understanding, this book will be compiled with highly focussed chapters that will discuss the application of SC,ML,DL and optimizations in Geoengineering and Geoscience. Target audience: (1) Students of UG, PG, and Research Scholars: Several applications of SC,ML,DL and optimizations in Geoengineering and Geoscience can help students to enhance their knowledge in this domain. (2) Industry Personnel and Practitioner: Practitioners from different fields can be able to implement standard and advanced SC,ML,DL and optimizations for solving critical problems of civil engineering.
988			_aSpringer_Engineering_2022
650		7	_2embne _9160334 _aCiencias de la tierra _xProceso de datos
700	1		_9687196 _aZhang, Yanmei _eautor
700	1		_9687197 _aGu, Xin _eautor
700	1		_9687198 _aWu, Chongzhi _eautor
700	1		_9687199 _aHan, Liang _eautor _d1987-
776	0	8	_iPrinted edition: _z9789811668340
776	0	8	_iPrinted edition: _z9789811668364
776	0	8	_iPrinted edition: _z9789811668371
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-6835-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eu _zSI