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|a Artificial neural networks :
|b methods and applications /
|c edited by David J. Livingstone.
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264 |
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1 |
|a Totowa, N.J. :
|b Humana,
|c [2008]
|
264 |
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4 |
|c ©2008
|
300 |
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|a ix, 254 pages :
|b illustrations ;
|c 25 cm.
|
336 |
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|a text
|2 rdacontent
|b txt
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337 |
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|a unmediated
|2 rdamedia
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338 |
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|a volume
|2 rdacarrier
|b nc
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490 |
1 |
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|a Methods in molecular biology ;
|v 458
|
504 |
|
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|a Includes bibliographical references and indexes.
|
505 |
0 |
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|a Artificial 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.
|
650 |
|
0 |
|a Neural networks (Computer science)
|
650 |
|
2 |
|a Neural Networks (Computer)
|
700 |
1 |
|
|a Livingstone, D.
|q (David)
|
830 |
|
0 |
|a Methods in molecular biology ;
|v 458.
|
830 |
|
0 |
|a Methods in molecular biology (Clifton, N.J.) ;
|v 458.
|
999 |
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|a Texas A&M University
|b Rellis Campus
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