Neural computation and particle accelerators : research, technology and applications /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chabot, Emmerich, D'Arras, Horace
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, [2010]
Colección:Neuroscience research progress series.
Temas:
Neural computers.
Particle accelerators.
Ordinateurs neuronaux.
Accélérateurs de particules.
COMPUTERS > Neural Networks.
Neural computers
Particle accelerators
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Magnetic Fringe Field and Interference in High Intensity Accelerator / J.G. Wang
  • Transport calculations and accelerator experiments needed for radiation risk assessment in space / L. Sihver, Chalmers
  • Transport of Ion-Therapy Beams in Rotating Gantries / Márius Pavloviè
  • Investigation of Surface Treatments of Niobium Flat Samples and SRF Cavities by Gas Cluster Ion Beam Technique for Particle Accelerators / A.T. Wu and D.R Swenson, P. Kneisel, G. Wu, and E. Harms, Z. Insepov, W. Murayi, and H. Edwards
  • The Roles of Chloroplast Proteases in the Assembly and Turnover of Light-Harvesting Complex / Jie Zhang and Ning Li
  • Design of High Power Neutron Sources for Nuclear Technology Applications by Means of Particle Accelerators / Alberto Abanades
  • Subdural Interictal EEG Analysis for Extracting Discriminating Features towards Electrode Classification Using Artificial Neural Networks / Mercedes Cabrerizo, Malek Adjouadi, Melvin Ayala, Prasanna Jayakar
  • A New Method for Preparing Submicron and Nano-sized Aromatic Polyamide Particles with Various Morphologies and Characteristic Features / Yayoi Yoshioka
  • Surface Treatments of Niobium Superconducting Radio Frequency Cavities by Electropolishing For Particle Accelerators / A.T. Wu
  • Frictional cooling of a particle beam / H. Daniel, F.J. Hartmann
  • Model Selection for Gaussian Mixture Model in a Two-Phase Procedure: A Further Comparatine Study / Lei Shi
  • Principle of a Laser-Driven Charged-Particle Accelerator / H. Daniel
  • Topological Optimization of Artificial Neural Networks Using a Pattern Search Method / Matthias Ihme
  • Approximate Joint Matrix Diagonalization by Riemannian-Gradient-Based Optimization over the Unitary Group (With Application to Neural Multichannel Blind Deconvolution) / Simone Fiori and Paola Baldassa
  • Spike Timing Dependent Plasticity: A Route to Robustness in Hardware and Algorithms / Katherine Cameron, Zhijun Yang and Alan Murray.

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