000			03239nam a2200445 i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c119423 _d119423
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003			ES-MaUEC
005			20230102113948.0
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007			cr nn nnnaamaa
008			200227s2020 gw | s |||| 0|eng d
020			_a9783030354459
024	7		_a10.1007/978-3-030-35445-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA9.64 _b2020 EB
245	0	0	_aIntuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms : _bTheory and Applications _cedited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 792 páginas) _b363 ilustraciones, 240 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aStudies in Computational Intelligence _x1860-949X _v862
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aPart I: Type-1 and Type-2 Fuzzy Logic -- Parameter adaptation in the imperialist competitive algorithm using generalized type-2 fuzzy logic -- A Mamdani fuzzy inference protocol aimed to identify heterogeneity of the allometric response in arithmetical space -- Fireworks Algorithm (FWA) with adaptation of parameters using Interval Type-2 Fuzzy Logic System -- Omnidirectional Four Wheel Mobile Robot Control with a Type-2 Fuzzy Logic Behavior-based Strategy.
520	3		_aThis book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience. .
988			_aSpringer_Robotics_31032020
650		7	_2embne _aLógica difusa _9152594
700	1		_aCastillo, Oscar _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aMelin, Patricia _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKacprzyk, Janusz _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030354442
776	0	8	_iPrinted edition: _z9783030354466
776	0	8	_iPrinted edition: _z9783030354473
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-35445-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _ek _zSI