Neural Information Processing

24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V
1. Auflage 2017
ISBN: 978-3-319-70138-7
Verlag: Springer International Publishing

Buch, Englisch, 930 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 14088 g

Reihe: Theoretical Computer Science and General Issues

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues 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.

Zielgruppe

Research

Autoren/Hrsg.

Liu, Derong

Xie, Shengli

El-Alfy, El-Sayed M.

Li, Yuanqing

Zhao, Dongbin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten

Inhaltsverzeichnis

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.