000			03273nam a22003615i 4500
001			102317
003			DE-He213
005			20240111050138.0
007			cr nn 008mamaa
008			170531s2018 si | s |||| 0|eng d
020			_a9789811049477
024	7		_a10.1007/978-981-10-4947-7 _2doi
040			_aES-MaUEC _bspa
050		4	_aQA76.87 _bL574 2018 EB
100	1		_aLi, Shuai _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/62701405/ _1http://dbpedia.org/resource/Li_Shuai
245	1	0	_aCompetition-Based Neural Networks with Robotic Applications _cby Shuai Li, Long Jin.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XV, 121 páginas 44 ilustraciones)
347			_atext file _bPDF
490	0		_aSpringerBriefs in Applied Sciences and Technology _x2191-530X
505	0		_aCompetition Aided with Discrete -- Time Dynamic Feedback -- Competition Aided with Continuous -- Time Nonlinear Model -- Competition Aided with Finite -- time Neural Network -- Competition based on Selective Positive-negative Feedback -- Distributed Competition in Dynamic Networks -- Competition-based Distributed Coordination Control of Robots.
520	3		_aFocused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the book presents the first distributed WTA (Winners Take All) protocol, which it subsequently extends to the distributed coordination control of multiple robots. Illustrations, tables, and various simulative examples, as well as a healthy mix of plain and professional language, are used to explain the concepts and complex principles involved. Thus, the book provides readers in neurocomputing and robotics with a deeper understanding of the neural network approach to competition-based problem-solving, offers them an accessible introduction to modeling technology and the distributed coordination control of redundant robots, and equips them to use these technologies and approaches to solve concrete scientific and engineering problems.
650		7	_aInteligencia artificial _2embne _9413115
650		7	_aRedes neuronales artificiales _2embne _9678664
700	1		_aJin, Long _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/nr2001019338 _1http://viaf.org/viaf/114380653/ _1http://dbpedia.org/resource/Jin_Long
710	2		_aSpringerLink (Online service) _0http://id.loc.gov/authorities/names/no2005046756 _1http://viaf.org/viaf/274647764/ _9106996
776	0	8	_iEdición impresa: _z9789811049460
776	0	8	_iEdición impresa: _z9789811049484
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-4947-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b01/2019 _dz _ef _feng _ggw _h0
999			_c102317 _d102317 _x1