Hopfield Neural Network and Anisotropic Ising Model
The probabilistic Hopfield model known also as the Boltzman machine is a basic example in the zoo of artificial neural networks. Initially it was designed as a model of associative memory, but played a fundamental role in understanding the statistical nat
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Boris Kryzhanovsky Witali Dunin-Barkowski Vladimir Redko Yury Tiumentsev Editors
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 Volume 925
Series Editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. The books of this series are submitted to indexing to Web of Science, EI-Compendex, DBLP, SCOPUS, Google Scholar and Springerlink.
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Boris Kryzhanovsky Witali Dunin-Barkowski Vladimir Redko Yury Tiumentsev •
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Editors
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
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Editors Boris Kryzhanovsky Scientific Research Institute for System Analysis Russian Academy of Sciences Moscow, Russia Vladimir Redko Scientific Research Institute for System Analysis Russian Academy of Sciences Moscow, Russia
Witali Dunin-Barkowski Scientific Research Institute for System Analysis Russian Academy of Sciences Moscow, Russia Yury Tiumentsev Moscow Aviation Institute (National Research University) Moscow, Russia
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-030-60576-6 ISBN 978-3-030-60577-3 (eBook) https://doi.org/10.1007/978-3-030-60577-3 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descript
