About this book series

The "Proceedings of the International Neural Networks Society INNS" publishes research contributions on fundamental principles and applications related to neural networks and modeling behavioral and brain processes. Topics of interest include new developments, state-of-art theories, methods and practical applications, covering all aspects of neural networks and neuromorphic technologies for (artificially; replace with anthropomorphic) intelligent (designs; replace with systems). This series covers high quality books that contribute to the full range of neural networks research, from computational neuroscience, cognitive science, behavioral and brain modeling, (add machine) learning algorithms, mathematical theories, to technological applications of systems that significantly use neural network concepts and techniques.

 

The series publishes monographs, contributed volumes, lecture notes, edited volumes, and conference proceedings in neural networks spanning theoretical, experimental, computational, and engineering aspects. Submissions of highly innovative cutting-edge contributions are encouraged, which extend our understanding at the forefront of science going beyond mainstream approaches. 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 in this rapidly developing research field.


Electronic ISSN
2661-815X
Print ISSN
2661-8141
Series Editor
  • Plamen Angelov,
  • Robert Kozma

Book titles in this series

  1. Recent Advances in Big Data and Deep Learning

    Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL2019, held at Sestri Levante, Genova, Italy 16-18 April 2019

    Editors:
    • Luca Oneto
    • Nicolò Navarin
    • Alessandro Sperduti
    • Davide Anguita
    • Copyright: 2020

    Available Renditions

    • Soft cover
    • eBook