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|Title=International Joint Conference on Neural Networks | |Title=International Joint Conference on Neural Networks | ||
|Type=Conference | |Type=Conference | ||
− | | | + | |Official Website=http://ijcnn2009.com |
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|City=Atlanta | |City=Atlanta | ||
− | | | + | |Region=Georgia |
− | |Country= | + | |Country=Country:US |
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|pageCreator=127.0.0.1 | |pageCreator=127.0.0.1 | ||
|pageEditor=User:Curator 89 | |pageEditor=User:Curator 89 | ||
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|Start Date=2009/06/14 | |Start Date=2009/06/14 | ||
|End Date=2009/06/19 | |End Date=2009/06/19 | ||
+ | |Academic Field=Machine Learning | ||
+ | |Event Status=as scheduled | ||
+ | |Event Mode=on site | ||
}} | }} | ||
+ | {{Event Deadline | ||
+ | |Notification Deadline=2009/01/30 | ||
+ | |Camera-Ready Deadline=2009/03/10 | ||
+ | |Submission Deadline=2008/12/15 | ||
+ | }} | ||
+ | {{S Event}} | ||
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 15:20, 19 October 2022
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Venue
Atlanta, Georgia, United States of America
Warning: Venue is missing. The map might not show the exact location.
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)