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008			191123s2020 gw a o |||| 0|eng d
020			_a9783030341350
024	7		_a10.1007/978-3-030-34135-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA9.64 _b2020 EB
245	0	0	_aHybrid Intelligent Systems in Control, Pattern Recognition and Medicine _cedited by Oscar Castillo, Patricia Melin.
250			_a1st ed. 2020.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2020.
300			_a1 recurso en línea (IX, 362 páginas)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v827
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aPart I: Type-1 and Type-2 Fuzzy Logic -- Intuitionistic and Neutrosophic Fuzzy Logic: Basic Concepts and Applications -- Study of the Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Prolems -- Adaptation of Parameters with Binary Cat Swarm Optimization Algorithm of Controller for a Mobile Autonomous Robot -- Comparison of Fuzzy Controller Optimization with Dynamic Parameter Adjustment based on of Type-1 and Type-2 Fuzzy Logic -- Part II: Pattern Recognition -- Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognition -- Optimal recognition model based on convolutional neural networks and fuzzy gravitational search algorithm method.
520	3		_aThis book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.
988			_aPrimersemestre_2020_Robotics
650		7	_2embne _aLógica difusa _9152594
700	1		_aCastillo, Oscar. _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _937054
700	1		_aMelin, Patricia _d1962- _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _997926
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030341343
776	0	8	_iPrinted edition: _z9783030341367
776	0	8	_iPrinted edition: _z9783030341374
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-34135-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2020 _dz _ek _zSI