TY  - BOOK
AU  - Liu,Derong
AU  - Xie,Shengli
AU  - Li,Yuanqing
AU  - Zhao,Dongbin
AU  - El-Alfy,El-Sayed M.
ED  - SpringerLink (Online service)
TI  - Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part II 
T2  - Theoretical Computer Science and General Issues
SN  - 9783319700960
AV  - Q334-342 
U1  - 006.3 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Artificial intelligence
KW  - Optical data processing
KW  - Artificial Intelligence
KW  - Image Processing and Computer Vision
N1  - Machine Learning -- Reinforcement Learning -- Big Data Analysis -- Deep Learning -- Brain-Computer Interface -- Computational Finance -- Computer Vision, -- Neurodynamics -- Sensory Perception and Decision Making -- Computational Intelligence -- Neural Data Analysis -- Biomedical Engineering -- Emotion and Bayesian Networks -- Data Mining -- Time-Series Analysis -- Social Networks -- Bioinformatics -- Information Security and Social Cognition -- Robotics and Control -- Pattern Recognition -- Neuromorphic Hardware and Speech Processing.
N2  - The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constituts the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563  full papers presented were carefully reviewed and selected from 856 submissions. The 6 volumes are organized in topical sections on Machine Learning, Reinforcement Learning, Big Data Analysis, Deep Learning, Brain-Computer Interface, Computational Finance, Computer Vision, Neurodynamics, Sensory Perception and Decision Making, Computational Intelligence, Neural Data Analysis, Biomedical Engineering, Emotion and Bayesian Networks, Data Mining, Time-Series Analysis, Social Networks, Bioinformatics, Information Security and Social Cognition, Robotics and Control, Pattern Recognition, Neuromorphic Hardware and Speech Processing.
UR  - https://doi.org/10.1007/978-3-319-70096-0
ER  -