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IWANN 2011 : 11th International Work-Conference on Artificial Neural Networks (Advances on Computational Intelligence)

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Conference Series : International Work-Conference on Artificial and Natural Neural Networks
 
Link: http://www.iwann-conference.es/
 
When Jun 8, 2011 - Jun 10, 2011
Where Torremolinos-Málaga, Spain
Submission Deadline Jan 30, 2011
Final Version Due Mar 11, 2011
Categories    computational intelligence   learning   neural networks   machine learning
 

Call For Papers

IWANN (and related) conferences
http://www.iwann-conference.es/
Apologies for cross-posting
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Dear colleagues,

You are cordially invited to propose a Special Session, as a part of the programme of the 11th International Work-Conference on Artificial Neural Networks (IWANN2011), which will be held on June 8-10, 2011 in Torremolinos-Málaga (Spain).

Special Sessions that emphasize on multi-disciplinary and transversal aspects, as well as cutting-edge topics are especially encouraged and welcome.

Proposals are due before November 18th, 2010 and should be sent by e-mail, without specific format to the Special Sessions chairs:
cabestany@aha-dee.upc.edu
moreno@aha-dee.upc.edu

Please, find detailed information on our web:
http://iwann.ugr.es/2011/iwann11.php?menu=contributions&sub=sesions

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CONTRIBUTIONS :: TOPICS

* Mathematical and theoretical methods in computational intelligence:
Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines and kernel methods. Fuzzy logic. Evolutionary and genetic algorithms.

* Neurocomputational formulations:
Single-neuron modelling. Perceptual modelling. System-level neural modelling. Spiking neurons. Models of biological learning.

* Learning and adaptation.
Adaptive systems. Imitation learning. Reconfigurable systems. Supervised, non-supervised, reinforcement and statistical algorithms.

* Emulation of cognitive functions.
Decision Making. Multi-agent systems. Sensor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control.

* Bio-inspired systems and neuro-engineering.
Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bioinspired systems. Neural prostheses. Retinomorphic systems. Brain-computer interfaces (BCI) Nanosystems. Nanocognitive systems.

* Hybrid Intelligent Systems.
Soft Computing. Neuro-fuzzy systems. Neuro-evolutionary systems. Neuro-swarm. Hybridizatiion with novel computing paradigms: Qantum computing, DNA computing, membrane computing. Neural dynamic logic and other methods; etc.

* Applications.
Image and Signal Processing. Ambient intelligence. Biomimetic applications. System identification, process control, and manufacturing. Computational Biology and Bioinformatics. Internet Modeling, Communication and Networking. Intelligent Systems in Education. Human-Robot Interaction. Multi-Agent Systems. Time series analysis and prediction. Data mining and knowledge discovery.

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