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Advances in Neural Computation, Machine Learning, and Cognitive Research: Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia: Studies in Computational Intelligence, cartea 736

Editat de Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko
en Limba Engleză Hardback – 29 aug 2017
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.
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Specificații

ISBN-13: 9783319666037
ISBN-10: 3319666037
Pagini: 199
Ilustrații: XV, 199 p. 60 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.48 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

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.

Caracteristici

Includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2–6, 2017, in Moscow, Russia Reports on both the theory and applications of artificial neural networks Presents topics ranging from advances in machine learning to evolutionary programming and neuroimaging/neurobiology Offers a multidisciplinary perspective on neuroinformatics