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Neural information processing = 23rd...
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ICONIP (Conference) (2016 :)
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Neural information processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.. Part II /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Neural information processing/ edited by Akira Hirose ... [et al.].
其他題名:
23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.
其他題名:
ICONIP 2016
其他作者:
Hirose, Akira.
團體作者:
ICONIP (Conference)
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xix, 739 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer eBooks
標題:
Neural networks (Computer science) - Congresses. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-46672-9
ISBN:
9783319466729$q(electronic bk.)
Neural information processing = 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.. Part II /
Neural information processing
23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings.Part II /[electronic resource] :ICONIP 2016edited by Akira Hirose ... [et al.]. - Cham :Springer International Publishing :2016. - xix, 739 p. :ill., digital ;24 cm. - Lecture notes in computer science,99480302-9743 ;. - Lecture notes in computer science ;9948..
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 constitues 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: 9783319466729$q(electronic bk.)
Standard No.: 10.1007/978-3-319-46672-9doiSubjects--Topical Terms:
582186
Neural networks (Computer science)
--Congresses.
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 II /
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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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