000 | 03633nam a22005535i 4500 | ||
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001 | 978-3-540-48980-1 | ||
003 | DE-He213 | ||
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007 | cr nn 008mamaa | ||
008 | 121227s1999 gw | s |||| 0|eng d | ||
020 |
_a9783540489801 _9978-3-540-48980-1 |
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024 | 7 |
_a10.1007/BFb0104276 _2doi |
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_aScientific Applications of Neural Nets _h[electronic resource] : _bProceedings of the 194th W.E. Heraeus Seminar Held at Bad Honnef, Germany, 11–13 May 1998 / _cedited by John W. Clark, Thomas Lindenau, Manfred L. Ristig. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c1999. |
|
300 |
_aXIII, 290 p. 78 illus., 6 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
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490 | 1 |
_aLecture Notes in Physics, _x0075-8450 ; _v522 |
|
505 | 0 | _aNeural networks: New tools for modelling and data analysis in science -- Adaptive optics: Neural network wavefront sensing, reconstruction, and prediction -- Nuclear physics with neural networks -- Using neural networks to learn energy corrections in hadronic calorimeters -- Neural networks for protein structure prediction -- Evolution teaches neural networks to predict protein structure -- An application of artificial neural networks in linguistics -- Optimization with neural networks -- Dynamics of networks and applications. | |
520 | _aNeural-network models for event analysis are widely used in experimental high-energy physics, star/galaxy discrimination, control of adaptive optical systems, prediction of nuclear properties, fast interpolation of potential energy surfaces in chemistry, classification of mass spectra of organic compounds, protein-structure prediction, analysis of DNA sequences, and design of pharmaceuticals. This book, devoted to this highly interdisciplinary research area, addresses scientists and graduate students. The pedagogically written review articles range over a variety of fields including astronomy, nuclear physics, experimental particle physics, bioinformatics, linguistics, and information processing. | ||
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aStatistical physics. | |
650 | 1 | 4 |
_aComplex Systems. _0http://scigraph.springernature.com/things/product-market-codes/P33000 |
650 | 2 | 4 |
_aParticle and Nuclear Physics. _0http://scigraph.springernature.com/things/product-market-codes/P23002 |
650 | 2 | 4 |
_aArtificial Intelligence. _0http://scigraph.springernature.com/things/product-market-codes/I21000 |
650 | 2 | 4 |
_aStatistical Physics and Dynamical Systems. _0http://scigraph.springernature.com/things/product-market-codes/P19090 |
700 | 1 |
_aClark, John W. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLindenau, Thomas. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRistig, Manfred L. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
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_iPrinted edition: _z9783662142356 |
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_iPrinted edition: _z9783662142349 |
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_iPrinted edition: _z9783540657378 |
830 | 0 |
_aLecture Notes in Physics, _x0075-8450 ; _v522 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/BFb0104276 |
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