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

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	006.4
書名/作者:	Neural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016 : proceedings./ edited by Akira Hirose ... [et al.].
其他題名:	ICONIP 2016
其他作者:	Hirose, Akira.
團體作者:	Clark Conference
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xix, 639 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Neural networks (Computer science)
標題:	Computer Science.
標題:	Pattern Recognition.
標題:	Image Processing and Computer Vision.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Computation by Abstract Devices.
標題:	Data Mining and Knowledge Discovery.
ISBN:	9783319466873
ISBN:	9783319466866
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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-46687-3

Neural information processing[electronic resource] :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 ;7103..

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:

386157
Neural networks (Computer science)

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

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