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Advances in Neural Computation, Machine Learning, and Cognitive Research

Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia

  • Conference proceedings
  • © 2018

Overview

  • Includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2–6, 2017, in Moscow, Russia
  • Reports on both the theory and applications of artificial neural networks
  • Presents topics ranging from advances in machine learning to evolutionary programming and neuroimaging/neurobiology
  • Offers a multidisciplinary perspective on neuroinformatics

Part of the book series: Studies in Computational Intelligence (SCI, volume 736)

Included in the following conference series:

Conference proceedings info: NEUROINFORMATICS 2017.

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Table of contents (28 papers)

  1. Neural Network Theory

  2. Applications of Neural Networks

Other volumes

  1. Advances in Neural Computation, Machine Learning, and Cognitive Research

Keywords

About this book

This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.

Editors and Affiliations

  • Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Boris Kryzhanovsky, Witali Dunin-Barkowski, Vladimir Redko

Bibliographic Information

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