000			03221nam a22004335i 4500
001			86451
003			ES-MaUEC
005			20230207040559.0
007			cr nn 008mamaa
008			150718s2016 gw a s 001 0 eng d
020			_a9783662474846
024	7		_a10.1007/978-3-662-47484-6 _2doi
040			_aES-MaUEC
050		4	_aQA76.87 _b.W36 2016 EB
082	0	4	_a620
100	1		_aWang, Zhanshan _9100162 _0Local
245	1	0	_aQualitative Analysis and Control of Complex Neural Networks with Delays _cby Zhanshan Wang, Zhenwei Liu, Chengde Zheng
264		1	_aBerlin, Heidelberg _bSpringer Berlin Heidelberg _c2016
300			_a1 recurso en línea (XIV, 388 p.) _b32 ilustraciones, 7 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	1		_aStudies in Systems, Decision and Control _x2198-4182 _v34
505	0		_aIntroduction to Neural Networks.- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning.- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.
520			_aThis book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aComplejidad computacional _0comprobar BNE20051714665 _2embne _9165250
650		7	_aRedes neuronales artificiales _0comprobar BNE19930079703 _2embne _9678664
700	1		_aLiu, Zhenwei _9100163 _0Local
700	1		_aZheng, Chengde _9100164 _0Local
830		0	_aStudies in Systems, Decision and Control _x2198-4182 _v34 _9134109
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-662-47484-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783662474846
907			_a.b1295729x _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b16-09-17 _cm _dz _ei _feng _ggw _h0
945			_aQA76.87 W36 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11599091 _z06-04-17
999			_c86451 _d86451 _x1