Difference between revisions of "IJCNN 2009"
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|Camera ready=2009/03/10 | |Camera ready=2009/03/10 | ||
|Acronym=IJCNN 2009 | |Acronym=IJCNN 2009 | ||
| − | |End date=2009 | + | |End date=2009-06-19 |
|Series=IJCNN | |Series=IJCNN | ||
|Type =Conference | |Type =Conference | ||
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|State=US/GA | |State=US/GA | ||
|City =US/GA/Atlanta | |City =US/GA/Atlanta | ||
| + | |Year =2009 | ||
|Homepage=ijcnn2009.com | |Homepage=ijcnn2009.com | ||
| − | |Start date=2009 | + | |Start date=2009-06-14 |
|Title=International Joint Conference on Neural Networks | |Title=International Joint Conference on Neural Networks | ||
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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
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| Event in series | IJCNN |
| Dates | 2009-06-14 (iCal) - 2009-06-19 |
| Homepage: | ijcnn2009.com |
| Location | |
| Location: | US/GA/Atlanta, US/GA, US |
| 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)