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008			210104s2021 si | s |||| 0|eng d
020			_a9789813342446
024	7		_a10.1007/978-981-33-4244-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aQ325.5 _b2021 EB
100	1		_aWang, Wenfeng _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678150
245	1	0	_aInterdisciplinary Evolution of the Machine Brain : _bVision, Touch & Mind _cby Wenfeng Wang, Hengjin Cai, Xiangyang Deng, Chenguang Lu, Limin Zhang.
250			_aFirst edition 2021
264		1	_aSingapore _bSpringer International Pulishing _c2021
300			_a1 recurso en línea (XII, 145 páginas) _b57 ilustraciones, 45 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2
490	0		_aResearch on Intelligent Manufacturing _x2523-3386
490	0		_aIntelligent Technologies and Robotics (SpringerNature-42732)
490	0		_aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505	0		_aData-driven Approach in Machine Learning -- Environments Monitoring and Understanding -- Process-based Perception to the Environments -- Intelligent Manufacturing for the Implementation -- Reconciled Interpretation of Vison, Touch & Minds -- Expanded Insights into the Evolution of Machine Brain.
520	3		_aThis book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
988			_aSpringer_Robotics_2021
650		7	_aAprendizaje automático _2embne _9166090
650		7	_aInteligencia artificial _2embne _9413115
650		7	_aRobótica _2embne _9160676
700	1		_aCai, Hengjin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678151
700	1		_aDeng, Xiangyang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678152
700	1		_aLu, Chenguang _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678153
700	1		_aZhang, Limin _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9678155
776	0	8	_iPrinted edition: _z9789813342439
776	0	8	_iPrinted edition: _z9789813342453
776	0	8	_iPrinted edition: _z9789813342460
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-33-4244-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b04/2021 _dz _eo _zSI