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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 /

Contributor(s): Cheng, Long [editor.] | Liu, Qingshan [editor.] | Ronzhin, Andrey [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9719Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016.Description: XX, 741 p. 278 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319406633.Subject(s): Computer science | Computer security | Algorithms | Computer science -- Mathematics | Artificial intelligence | Pattern recognition | Neural networks (Computer science) | Computer Science | Pattern Recognition | Algorithm Analysis and Problem Complexity | Artificial Intelligence (incl. Robotics) | Mathematics of Computing | Mathematical Models of Cognitive Processes and Neural Networks | Systems and Data SecurityOnline resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.

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