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Advances in Neural Networks – ISNN 2016 [electronic resource] : 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / edited by Long Cheng, Qingshan Liu, Andrey Ronzhin.

Medverkande: Materialtyp: TextSerie: Theoretical Computer Science and General Issues ; 9719Utgivningsuppgift: Cham : Springer International Publishing : Imprint: Springer, 2016Utgåva: 1st ed. 2016Beskrivning: XX, 741 p. 278 illus. online resourceInnehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783319406633
Ämnen: Fler format: Printed edition:: Ingen titel; Printed edition:: Ingen titelDDK-klassifikation:
  • 006.4 23
Library of Congress (LC) klassifikationskod:
  • Q337.5
  • TK7882.P3
Onlineresurser:
Innehåll:
Signal and image processing -- Dynamical behaviors of recurrent neural networks -- Intelligent control.-Clustering, classification, modeling, and forecasting -- Evolutionary computation -- Cognition computation and spiking neural networks.
I: Springer Nature eBookSammanfattning: This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.
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Signal and image processing -- Dynamical behaviors of recurrent neural networks -- Intelligent control.-Clustering, classification, modeling, and forecasting -- Evolutionary computation -- Cognition computation and spiking neural networks.

This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.

Licensed e-book