Opening book details…
Can I read Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers From the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia on EtoBox?
Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers From the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia by Boris Kryzhanovsky;Witali Dunin-Barkowski;Vladimir Redko;Yury Tiumentsev;Valentin V. Klimov(eds.) is a nonfiction available to read on EtoBox.
What is Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers From the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia about?
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 XXIII International Conference on Neuroinformatics, held on October 18-22, 2021, Moscow, Russia.
Who reads Advances in Neural Computation, Machine Learning, and Cognitive Research V : Selected Papers From the XXIII International Conference on Neuroinformatics, October 18-22, 2021, Moscow, Russia?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Boris Kryzhanovsky;Witali Dunin-Barkowski;Vladimir Redko;Yury Tiumentsev;Valentin V. Klimov(eds.)
- Publisher
- Springer International Publishing Springer
- Published
- 2021
- Language
- EN
- ISBN
- 9783030915810
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Computer Science
More by Boris Kryzhanovsky;Witali Dunin-Barkowski;Vladimir Redko;Yury Tiumentsev;Valentin V. Klimov(eds.)
Similar books
- Connectionist Models in Cognitive Neuroscience: The 5th Neural Computation and Psychology Workshop, Birmingham, 8-10 September 1998 (Perspectives in Neural Computing) — Richard Shillcock, Padraic Monaghan, T. Mark Ellison (auth.), Dietmar Heinke PhD, Glynn W. Humphreys PhD, Andrew Olson (1999)
- Fuzzy logic, neural networks, and evolutionary computation: IEEE / Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14-15, 1995: selected papers — Michael A. Lee, Henrik Esbensen (auth.), Takeshi Furuhashi, Yoshiki Uchikawa (1996)
- Artificial Neural Networks and Machine Learning – ICANN 2018 : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III — Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis (2018)
- Advances in Connectionist and Neural Computation Theory : Vol. 1. : High-level Connectionist Models — edited by John A. Barnden and Jordan B. Pollack (1991)
- Advances in Mathematical Modelling, Applied Analysis and Computation : Proceedings of ICMMAAC 2021 — Jagdev Singh, George A. Anastassiou, Dumitru Baleanu, Carlo Cattani, Devendra Kumar, (2023)
- The Digital Synaptic Neural Substrate: A New Approach to Computational Creativity (SpringerBriefs in Cognitive Computation, 3) — Azlan Iqbal, Matej Guid, Simon Colton, Jana Krivec, Shazril Azman, Boshra Haghighi (auth.) (2016)