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Neural information processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.. Part I /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural information processing/ edited by Akira Hirose ... [et al.].
Reminder of title:	23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.
remainder title:	ICONIP 2016
other author:	Hirose, Akira.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xix, 639 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Neural networks (Computer science) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-46687-3
ISBN:	9783319466873

Neural information processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.. Part I /
Neural information processing23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.Part I /[electronic resource] :ICONIP 2016edited by Akira Hirose ... [et al.]. - Cham :Springer International Publishing :2016. - xix, 639 p. :ill., digital ;24 cm. - Lecture notes in computer science,99470302-9743 ;. - Lecture notes in computer science ;6140..

Deep and reinforcement learning -- Big data analysis -- Neural data analysis -- Robotics and control -- Bio-inspired/energy efficient information processing -- Whole brain architecture -- Neurodynamics -- Bioinformatics -- Biomedical engineering -- Data mining and cybersecurity workshop -- Machine learning -- Neuromorphic hardware -- Sensory perception -- Pattern recognition -- Social networks -- Brain-machine interface -- Computer vision -- Time series analysis -- Data-driven approach for extracting latent features -- Topological and graph based clustering methods -- Computational intelligence -- Data mining -- Deep neural networks -- Computational and cognitive neurosciences -- Theory and algorithms.

The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

ISBN: 9783319466873

Standard No.: 10.1007/978-3-319-46687-3doiSubjects--Topical Terms:

528588
Neural networks (Computer science)

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Neural information processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.. Part I /
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520 $a The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitutes the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.
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