http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Advances in Neural Computation, Machine Learning, and Cognitive Research II
Selected Papers from the XX International Conference on Neuroinformatics, October 8-12, 2018, Moscow, Russia
XVII, 344 p. 121 illus. online resource.
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.
edited by Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev.
Applications of Graph Theory and Complex Networks
Studies in Computational Intelligence, 799