This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems 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 XX International Conference on Neuroinformatics, held in Moscow, Russia on October 8–12, 2018.
| ISBN: | 9783030131708 |
| Publication date: | 10th December 2019 |
| Author: | Boris Kryzhanovsky |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 344 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Neural networks and fuzzy systems Machine learning Cognition and cognitive psychology |
This book describes new theories and applications of artificial neural networks, with a special focus on addressing problems 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.
Advances in Neural Computation, Machine Learning, and Cognitive Research II features in the following genres: Neural networks and fuzzy systems, Machine learning, Cognition and cognitive psychology
Paperback, Hardback. £161.99, down from the £179.99 cover price. Not Available.
Advances in Neural Computation, Machine Learning, and Cognitive Research II was written by Boris Kryzhanovsky and published by Springer Nature Switzerland AG
Advances in Neural Computation, Machine Learning, and Cognitive Research II has 344 pages
Yes it is part of Studies in Computational Intelligence series
£161.99, reduced from £179.99. Not Available.