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.

Contributor(s): Cheng, Long [editor.] | Liu, Qingshan [editor.] | Ronzhin, Andrey [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Theoretical Computer Science and General Issues ; 9719 | Lecture Notes in Computer Science ; 9719Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XX, 741 p. 278 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319406633Subject(s): Pattern recognition | Algorithms | Artificial intelligence | Computer science—Mathematics | Neural networks (Computer science) | Computer security | Pattern Recognition | Algorithm Analysis and Problem Complexity | Artificial Intelligence | Mathematics of Computing | Mathematical Models of Cognitive Processes and Neural Networks | Systems and Data SecurityAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 LOC classification: Q337.5TK7882.P3Online 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 Nature eBookSummary: 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.
Item type: E-BOOKS
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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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