000			04501cam a22005295i 4500
001			21661159
003			OSt
005			20220511101704.0
006			m |o d |
007			cr |||||||||||
008			131206s2014 xxk|||| o |||| 0|eng
010			_a 2019737748
020			_a9781447155713
024	7		_a10.1007/978-1-4471-5571-3 _2doi
035			_a(DE-He213)978-1-4471-5571-3
040			_aDLC _beng _epn _erda _cDLC
072		7	_aUYQ _2bicssc
072		7	_aTEC009000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3 _223
100	1		_aDu, Ke-Lin. _eauthor.
245	1	0	_aNeural Networks and Statistical Learning / _cby Ke-Lin Du, M. N. S. Swamy.
250			_a1st ed. 2014.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2014.
300			_a1 online resource (XXVII, 824 pages 166 illustrations, 68 illustrations in color.)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aIntroduction -- Fundamentals of Machine Learning -- Perceptrons -- Multilayer perceptrons: architecture and error backpropagation -- Multilayer perceptrons: other learing techniques -- Hopfield networks, simulated annealing and chaotic neural networks -- Associative memory networks -- Clustering I: Basic clustering models and algorithms -- Clustering II: topics in clustering -- Radial basis function networks -- Recurrent neural networks -- Principal component analysis -- Nonnegative matrix factorization and compressed sensing -- Independent component analysis -- Discriminant analysis -- Support vector machines -- Other kernel methods -- Reinforcement learning -- Probabilistic and Bayesian networks -- Combining multiple learners: data fusion and emsemble learning -- Introduction of fuzzy sets and logic -- Neurofuzzy systems -- Neural circuits -- Pattern recognition for biometrics and bioinformatics -- Data mining.
520			_aProviding a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered with examples and exercises in every chapter to develop a practical working understanding of the content. Each of the twenty-five chapters includes state-of-the-art descriptions and important research results on the respective topics. The broad coverage includes the multilayer perceptron, the Hopfield network, associative memory models, clustering models and algorithms, the radial basis function network, recurrent neural networks, principal component analysis, nonnegative matrix factorization, independent component analysis, discriminant analysis, support vector machines, kernel methods, reinforcement learning, probabilistic and Bayesian networks, data fusion and ensemble learning, fuzzy sets and logic, neurofuzzy models, hardware implementations, and some machine learning topics. Applications to biometric/bioinformatics and data mining are also included. Focusing on the prominent accomplishments and their practical aspects, academic and technical staff, graduate students and researchers will find that this provides a solid foundation and encompassing reference for the fields of neural networks, pattern recognition, signal processing, machine learning, computational intelligence, and data mining.
588			_aDescription based on publisher-supplied MARC data.
650		0	_aComputational intelligence.
650		0	_aNeural networks (Computer science) .
650		0	_aData mining.
650		0	_aPattern recognition.
650	1	4	_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650	2	4	_aMathematical Models of Cognitive Processes and Neural Networks. _0https://scigraph.springernature.com/ontologies/product-market-codes/M13100
650	2	4	_aData Mining and Knowledge Discovery. _0https://scigraph.springernature.com/ontologies/product-market-codes/I18030
650	2	4	_aPattern Recognition. _0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
700	1		_aSwamy, M. N. S. _eauthor.
776	0	8	_iPrinted edition: _z9781447155720
776	0	8	_iPrinted edition: _z9781447155706
776	0	8	_iPrinted edition: _z9781447170471
906			_a0 _bibc _corigres _du _encip _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c8413 _d8413