Advances in Neural Computation, Machine Learning, and Cognitive Research IV: Selected Papers from the XXII International Conference on Neuroinformatics, October 12-16, 2020, Moscow, Russia: Studies in Computational Intelligence, cartea 925
Editat de Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentseven Limba Engleză Hardback – 2 oct 2020
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 1242.94 lei 43-57 zile | |
Springer International Publishing – 3 oct 2021 | 1242.94 lei 43-57 zile | |
Hardback (1) | 1249.15 lei 43-57 zile | |
Springer International Publishing – 2 oct 2020 | 1249.15 lei 43-57 zile |
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Specificații
ISBN-13: 9783030605766
ISBN-10: 3030605760
Ilustrații: XVI, 441 p. 169 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030605760
Ilustrații: XVI, 441 p. 169 illus., 101 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.82 kg
Ediția:1st ed. 2021
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 answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.
Caracteristici
Reports on advanced theories and applications of artificial neural networks Focuses on problems in neuroscience, systems biophysics, cognitive research and adaptive control Merges topics in neurobiology, machine learning and evolutionary programming