000			02958nam a22003615i 4500
001			234646
003			ES-VaUE
005			20221220020616.0
007			cr nn 008mamaa
008			100806s2009 xxu| s |||| 0|eng d
020			_a9781603271011
024	7		_a10.1007/978-1-60327-101-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aArtificial Neural Networks _bMethods and Applications _cedited by David J. Livingstone.
250			_a1st edition 2009
264		1	_aTotowa, NJ _bHumana Press _c2009
300			_a1 recurso en línea (X, 254 páginas) _b74 ilustraciones
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v458
505	0		_aArtificial Neural Networks in Biology and Chemistry-The Evolution of a New Analytical Tool -- Overview of Artificial Neural Networks -- Bayesian Regularization of Neural Networks -- Kohonen and Counterpropagation Neural Networks Applied for Mapping and Interpretation of IR Spectra -- Artificial Neural Network Modeling in Environmental Toxicology -- Neural Networks in Analytical Chemistry -- Application of Artificial Neural Networks for Decision Support in Medicine -- Neural Networks in Building QSAR Models -- Peptide Bioinformatics- Peptide Classification Using Peptide Machines -- Associative Neural Network -- Neural Networks Predict Protein Structure and Function -- The Extraction of Information and Knowledge from Trained Neural Networks.
520			_aAs an extension of artificial intelligence research, artificial neural networks (ANN) aim to simulate intelligent behavior by mimicking the way that biological neural networks function. In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. In the tradition of the highly successful Methods in Molecular Biology™ series, this volume exhibits clear, easy-to-use information with many step-by-step laboratory protocols. Comprehensive and state-of-the-art, Artificial Neural Networks is an excellent guide to this accelerating technological field of study.
700	1		_aLivingstone, David J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781603279239
776	0	8	_iPrinted edition: _z9781617377389
776	0	8	_iPrinted edition: _z9781588297181
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60327-101-1 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2009
999			_c234646 _d234646