IJCNN 2009: Difference between revisions
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{{Event | {{Event | ||
|Acronym=IJCNN 2009 | |||
|Title=International Joint Conference on Neural Networks | |||
|Series=IJCNN | |||
|Type=Conference | |||
|Field=Machine learning | |||
|Start date=2009/06/14 | |||
|End date=2009/06/19 | |||
|Homepage=ijcnn2009.com | |||
|City=Atlanta | |||
|State=Georgia | |||
|Country=USA | |||
|Submission deadline=2008/12/15 | |||
|Notification=2009/01/30 | |||
|Camera ready=2009/03/10 | |||
}} | }} | ||
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 36: | ||
* 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]] | ||
Latest revision as of 16:55, 7 March 2020
| 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: | Atlanta, Georgia, USA |
| 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)