Advances in neural networks - ISNN 2...
Cheng, Long.

 

  • Advances in neural networks - ISNN 2016[electronic resource] :13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016 : proceedings /
  • 纪录类型: 书目-电子资源 : Monograph/item
    [NT 15000414] null: 006.4
    [NT 47271] Title/Author: Advances in neural networks - ISNN 2016 : 13th International Symposium on Neural Networks, ISNN 2016, St. Petersburg, Russia, July 6-8, 2016 : proceedings // edited by Long Cheng, Qingshan Liu, Andrey Ronzhin.
    [NT 51403] remainder title: ISNN 2016
    [NT 51406] other author: Cheng, Long.
    [NT 51402] corporate name: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面页册数: xx, 741 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    标题: Neural networks (Computer science)
    标题: Computer Science.
    标题: Pattern Recognition.
    标题: Algorithm Analysis and Problem Complexity.
    标题: Artificial Intelligence (incl. Robotics)
    标题: Mathematics of Computing.
    标题: Mathematical Models of Cognitive Processes and Neural Networks.
    标题: Systems and Data Security.
    ISBN: 9783319406633
    ISBN: 9783319406626
    [NT 15000228] null: 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.
    [NT 15000229] null: 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.
    电子资源: http://dx.doi.org/10.1007/978-3-319-40663-3
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