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Author International Conference on Neuroinformatics (21st : 2019 : Dolgoprudnyĭ, Russia)

Title Advances in neural computation, machine learning, and cognitive research III : selected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia / Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko, Yury Tiumentsev, editors
Published Cham, Switzerland : Springer, [2020]


Description 1 online resource (xvii, 428 pages) : illustrations (some color)
Series Studies in computational intelligence, 1860-9503 ; volume 856
Studies in computational intelligence ; v. 856.
Contents Preface -- Part I: Invited Papers -- Chapter 1. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images -- Chapter 2. Tensor Train Neural Networks in Retail Operations -- Chapter 3. Semi-Empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems, etc
Summary 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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (SpringerLink, viewed September 20, 2019)
Subject Neural networks (Computer science) -- Congresses
Neural networks (Computer science)
Genre/Form Conference papers and proceedings.
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Kryzhanovsky, Boris, editor
Dunin-Barkovskiĭ, Vitaliĭ Lʹvovich, editor
Redʹko, V. G. (Vladimir Georgievich), editor.
Tiumentsev, Yury, editor
ISBN 9783030304256