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Theoretical Computer Science and General Issues

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation

28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I

Editors: Tetko, I., Kůrková, V., Karpov, P., Theis, F. (Eds.)

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  • ISBN 978-3-030-30487-4
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About this book

The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. 

Table of contents (63 chapters)

Table of contents (63 chapters)
  • Bidirectional Associative Memory with Block Coding: A Comparison of Iterative Retrieval Methods

    Pages 3-19

    Knoblauch, Andreas (et al.)

  • Stability Analysis of a Generalized Class of BAM Neural Networks with Mixed Delays

    Pages 20-31

    Aouiti, Chaouki (et al.)

  • Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays

    Pages 32-42

    Aouiti, Chaouki (et al.)

  • A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics

    Pages 43-56

    Wedemann, Roseli S. (et al.)

  • Multi-modal Associative Storage and Retrieval Using Hopfield Auto-associative Memory Network

    Pages 57-75

    Shriwas, Rachna (et al.)

Buy this book

eBook 88,80 €
price for Spain (gross)
  • ISBN 978-3-030-30487-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 110,23 €
price for Spain (gross)
  • ISBN 978-3-030-30486-7
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
Book Subtitle
28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I
Editors
  • Igor Tetko
  • Věra Kůrková
  • Pavel Karpov
  • Fabian Theis
Series Title
Theoretical Computer Science and General Issues
Series Volume
11727
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-30487-4
DOI
10.1007/978-3-030-30487-4
Softcover ISBN
978-3-030-30486-7
Edition Number
1
Number of Pages
XXX, 839
Number of Illustrations
130 b/w illustrations, 242 illustrations in colour
Topics

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