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008			180721s2019 gw a o |||| 0|eng d
020			_a9783319950983 _9
024	7		_a10.1007/978-3-319-95098-3 _2doi
040			_bspa _dES-MaUEC
050		4	_aQA76.87 _b2019 EB
245	0	0	_aNeural Advances in Processing Nonlinear Dynamic Signals _cedited by Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero.
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019.
300			_a1 recurso en línea (XII, 318 páginas) _b91 ilustraciones,61 ilustraciones a color
347			_atext file _bPDF
490	0		_aSmart Innovation Systems and Technologies _x2190-3018 _v102
505	0		_aProcessing Nonlinearities -- Temporal Artifacts from Edge Accumulation in Social Interaction -- Data Mining by Evolving Agents for Clusters Discovery and Metric Learning -- Error Resilient Neural Networks on Low-Dimensional Manifolds -- On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing -- Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines -- Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors -- Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization -- An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models -- New Challenges in Pension Industry: Proposals of Personal Pension Products -- A Method Based on OWA Operator for Scientific Research Evaluation -- A Cluster Analysis Approach for Rule Base Reduction.
520	3		_aThis book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community. Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques. This book is a valuable resource for a. The academic research community b. The ICT market c. PhD students and early stage researchers d. Companies, research institutes e. Representatives from industry and standardization bodies.
650		7	_aRedes neuronales artificiales _2embne _9678664
700	1		_aEsposito, Anna. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _918068
700	1		_aFaundez-Zanuy, Marcos. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _915054
700	1		_aMorabito, Francesco Carlo. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _998354
700	1		_aPasero, Eros. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _999436
710	2		_aSpringerLink (Online service) _9106996
776	0	8	_iPrinted edition: _z9783319950976
776	0	8	_iPrinted edition: _z9783319950990
776	0	8	_iPrinted edition: _z9783030069773
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-95098-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Robotics
998			_aSI _a_alco _a_vill _b10/2019 _cm _dz _ea _feng _ggw _h0
999			_c111328 _d111328 _x1