Difference between revisions of "IJCNN 2009"

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|Homepage=ijcnn2009.com
 
|Homepage=ijcnn2009.com
 
|Start date=2009-06-14
 
|Start date=2009-06-14
|Title=International Joint Conference on Neural Networks}}
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|Title=International Joint Conference on Neural Networks
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IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Topics of interest include but are not restricted to:
 
IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Topics of interest include but are not restricted to:
  

Latest revision as of 04:37, 6 December 2021


Event Rating

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List of all ratings can be found at IJCNN 2009/rating

IJCNN 2009
International Joint Conference on Neural Networks
Event in series IJCNN
Dates 2009-06-14 (iCal) - 2009-06-19
Homepage: ijcnn2009.com
Location
Location: US/GA/Atlanta, US/GA, US
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Important dates
Submissions: 2008/12/15
Notification: 2009/01/30
Camera ready due: 2009/03/10
Table of Contents

IJCNN is the premier international conference in the area of neural networks theory, analysis and applications. Topics of interest include but are not restricted to:

  • Connectionist methods in cognitive science and cognitive modeling (language, reasoning,perception, learning, consciousness,emotion, etc.)
  • Computational neuroscience
  • Neuro-technologies and neuro-engineering,brain-machine interfaces
  • Cognitive robotics, developmental robotics and neural robotics
  • Data mining and pattern recognition
  • Signal processing and time series analysis
  • Image processing and machine vision
  • Neurocontrol
  • Neuroinformatics and bioinformatics
  • Hybrid neural-symbolic, neuro-fuzzy,neuro-evolutionary systems, neuro-swarm, neural dynamic logic and other methods
  • Connectionist methods of emergent intelligence
  • Bayesian models and statistical machine learning methods
  • Support vector machines and Kernel methods
  • Learning methods: supervised, unsupervised and reinforcement
  • Adaptive dynamic programming and neurodynamic optimization
  • Neural dynamics, complex systems, and chaos
  • Hardware implementations of neural networks, neuromorphic engineering
  • Intelligent tools and methods (expert systems, embedded systems, data mining, multi-agent systems)
  • Real world applications of neural networks (games, finance, social systems, biomedical, power systems, telecommunication,defense, manufacturing)