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. 
 - 1st ed. 2016. 
 - XX, 741 p. 278 illus.  online resource. 
 - Theoretical Computer Science and General Issues,  9719  2512-2029 ; .
 - Theoretical Computer Science and General Issues,  9719 .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319406633 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-40663-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Pattern recognition systems.<br/>Algorithms.<br/>Artificial intelligence.<br/>Computer science--Mathematics.<br/>Neural networks (Computer science) .<br/>Data protection.<br/>Automated Pattern Recognition.<br/>Algorithms.<br/>Artificial Intelligence.<br/>Mathematics of Computing.<br/>Mathematical Models of Cognitive Processes and Neural Networks.<br/>Data and Information Security.
<br/><br/><label>LC Class. No.: </label>Q337.5 TK7882.P3 
<br/><br/><label>Dewey Class. No.: </label>006.4