Advances in Neural Computation, Machine Learning, and Cognitive Research [electronic resource] : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia / edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko.
Tipo de material:
TextoSeries Studies in Computational Intelligence ; 736Editor: Cham : Springer International Publishing : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XV, 199 p. 60 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783319666044Tema(s): Computational intelligence | Artificial intelligence | Biophysics | Biological physics | Computer simulation | Bioinformatics | Computational Intelligence | Artificial Intelligence | Biological and Medical Physics, Biophysics | Simulation and Modeling | Computational Biology/BioinformaticsFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico
En: Springer Nature eBookResumen: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.
UABC ; Temporal ; 01/01/2021-12/31/2023.
