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Advances in Neural Networks – ISNN 2016 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016, Proceedings / [electronic resource] : edited by Long Cheng, Qingshan Liu, Andrey Ronzhin. - XX, 741 p. 278 illus. online resource. - Lecture Notes in Computer Science, 9719 0302-9743 ; . - Lecture Notes in Computer Science, 9719 .

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.

9783319406633

10.1007/978-3-319-40663-3 doi


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 Security.

Q337.5 TK7882.P3

006.4

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