Difference between revisions of "IJCNN 2009"
Jump to navigation
Jump to search
(Event created) |
|||
| Line 9: | Line 9: | ||
| End date = Jun 19, 2009 | | End date = Jun 19, 2009 | ||
| City= Atlanta | | City= Atlanta | ||
| − | | State = | + | | State = Georgia |
| − | | Country = | + | | Country = USA |
| Abstract deadline = | | Abstract deadline = | ||
| Submission deadline = Dec 15, 2008 | | Submission deadline = Dec 15, 2008 | ||
| Line 17: | Line 17: | ||
}} | }} | ||
| − | |||
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: | ||
| Line 39: | Line 38: | ||
* Intelligent tools and methods (expert systems, embedded systems, data mining, multi-agent systems) | * 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) | * Real world applications of neural networks (games, finance, social systems, biomedical, power systems, telecommunication,defense, manufacturing) | ||
| − | + | ||
| + | [[Category:Artificial neural network]] | ||
[[Category:Artificial intelligence]] | [[Category:Artificial intelligence]] | ||
Revision as of 23:09, 14 October 2008
| IJCNN 2009 | |
|---|---|
International Joint Conference on Neural Networks
| |
| Dates | Jun 14, 2009 (iCal) - Jun 19, 2009 |
| Homepage: | ijcnn2009.com |
| Location | |
| Location: | Atlanta, Georgia, USA |
| Important dates | |
| Submissions: | Dec 15, 2008 |
| Notification: | Jan 30, 2009 |
| Camera ready due: | Mar 10, 2009 |
| 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)