000			02826cam a2200397 i 4500
650		7	_aRedes neuronales artificiales _2embne _9678664
999			_c94687 _d94687 _x1
001			94687
003			ES-MaUEC
005			20230102112627.0
006			m o d
007			cr cnu|||unuuu
008			161010s2017 sz a o 000 0 eng d
020			_a3319438700
020			_a3319438719 _q(electronic bk.)
020			_a9783319438702
020			_a9783319438719 _q(electronic bk.)
020			_z9783319438702 _q(print)
035			_a(OCoLC)960196807 _z(OCoLC)959954360 _z(OCoLC)974651406 _z(OCoLC)1005757268
040			_aGW5XE _cGW5XE _dAZU _dOCLCF _dCOO _dOCLCQ _dYDX _dUAB _dUPM _dIOG _dESU _dJBG _dIAD _dICW _dICN _dILO _dOTZ _dVT2 _dU3W _dES-MaUEC _bspa
050		4	_aQA76.87 _b2017 EB
100	1		_aIatan, Iuliana F. _eautor _9676504
245	1	0	_aIssues in the use of neural networks in information retrieval _cIuliana F. Iatan
264		1	_aCham _bSpringer _c[2017]
300			_a1 recurso en línea (xix, 199 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aStudies in computational intelligence _x1860-949X _vvolume 661
500			_aSpringerLink
505	0		_aMathematical Aspects of Using Neural Approaches for Information Retrieval -- A Fuzzy Kwan- Cai Neural Network for Determining Image Similarity and for the Face Recognition -- Predicting Human Personality from Social Media using a Fuzzy Neural Network -- Modern Neural Methods for Function Approximation -- A Fuzzy Gaussian Clifford Neural Network -- Concurrent Fuzzy Neural Networks -- A New Interval Arithmetic Based Neural Network -- A Recurrent Neural Fuzzy Network.
520	3		_aThis book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality. It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules. Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.
988			_aEBOOK, EBSPRINGER_2017A
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-43871-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI