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- catalog abstract "Neural-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.".
- catalog contributor b11271769.
- catalog contributor b11271770.
- catalog contributor b11271771.
- catalog contributor b11271772.
- catalog created "1999.".
- catalog date "1999".
- catalog date "1999.".
- catalog dateCopyrighted "1999.".
- catalog description "Includes bibliographical references.".
- catalog description "Neural Networks: New Tools for Modeling 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.".
- catalog description "Neural-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.".
- catalog extent "xiii, 288 p. :".
- catalog hasFormat "Scientific applications of neural nets.".
- catalog identifier "3540657371 (alk. paper)".
- catalog isFormatOf "Scientific applications of neural nets.".
- catalog isPartOf "Lecture notes in physics, 0074-8540 ; 522".
- catalog issued "1999".
- catalog issued "1999.".
- catalog language "eng".
- catalog publisher "Berlin ; New York : Springer,".
- catalog relation "Scientific applications of neural nets.".
- catalog subject "502.85/632 21".
- catalog subject "Electronic data processing.".
- catalog subject "Engineering.".
- catalog subject "Neural networks (Computer science)".
- catalog subject "Particles (Nuclear physics).".
- catalog subject "Physics.".
- catalog subject "Q183.9 .W17 1998".
- catalog subject "Science Automation.".
- catalog tableOfContents "Neural Networks: New Tools for Modeling 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.".
- catalog title "Scientific applications of neural nets : proceedings of the 194th W.E. Heraeus Seminar held at Bad Honnef, Germany, 11-13 May 1998 / John W. Clark, Thomas Lindenau, Manfred L. Ristig (eds.).".
- catalog type "Honnef (1998) swd".
- catalog type "text".