IJCNN 2009

IJCNN 2009
International Joint Conference on Neural Networks
Dates	Jun 14, 2009 (iCal) - Jun 19, 2009
Homepage:	ijcnn2009.com
Location
Location:	Atlanta, GA
Loading map... {"minzoom":false,"maxzoom":false,"mappingservice":"leaflet","width":"280px","height":"280px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"wmsoverlay":false,"copycoords":false,"static":false,"zoom":false,"defzoom":14,"layers":["OpenStreetMap"],"overlaylayers":[],"resizable":false,"enablefullscreen":false,"scrollwheelzoom":true,"markercluster":false,"clustermaxzoom":20,"clusterzoomonclick":true,"clustermaxradius":80,"clusterspiderfy":true,"geojson":"","locations":[{"text":"\u003Cb\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E\u003C/b\u003E\u003Chr /\u003E\u003Cdiv class=\"mw-parser-output\"\u003E\u003C/div\u003E","title":"","link":"","lat":33.7489924,"lon":-84.3902644,"icon":""}],"imageoverlays":null}
Important dates
Submissions:	Dec 15, 2008
Notification:	Jan 30, 2009
Camera ready due:	Mar 10, 2009
Table of Contents

The following coordinate was not recognized: Geocoding failed.

The following coordinate was not recognized: Geocoding failed.

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)
	

This CfP was obtained from WikiCFP