Connectionists: CFP for Special Session on Time Series Prediction at WCCI

Marley Vellasco marley at ele.puc-rio.br
Tue Nov 29 20:03:44 EST 2011


Dear colleagues,

please find below information about a special session on Time Series Prediction at 2012 IEEE World Congress on Computational Intelligence / International Joint Confrence on Neural Networks, that will take place in Brisbane, Australia, June 10-15, 2012.

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Special Session: Time Series Prediction

The 2012 IEEE World Congress on Computational Intelligence (IEEE WCCI 2012), Brisbane, Australia 
IJCNN 2012
Organizers:

Teresa B. Ludermir (Federal University of Pernambuco)

Marley Vellasco (Pontifical Catholic University of Rio de Janeiro)



Keywords:

Time series analysis; hybrid intelligent models for time series forecasting



Goals of this special session:



Time series modeling and forecasting is an old discipline that comes from the classic statistical field. The past decade has witnessed a vast growth of the amount of computational intelligence methods in time series forecasting. However hybrid intelligent systems are becoming popular due to their capabilities in handling many real world complex problems, involving imprecision, uncertainty, vagueness and high-dimensionality. Hybrid intelligent techniques facilitate the use of fuzzy logic, neuro-computing, evolutionary computing and probabilistic computing in combination, leading to the concept and application of hybrid intelligent systems. 

This special session of IJCNN 2011 will cover all aspects of hybrid intelligent systems for time series data, particularly forecasting, classification and clustering of time series.

Topics for submission include, but are not limited to:

•          Time series analysis

•          Time series forecasting

•          New approaches and models

•          Relations between classic statistical models and Computational Intelligence techniques

•          Spatio-temporal data analysis and pattern recognition 

•          On-line time series processing with spiking neural networks

•          Time series applications in industry, science and others



The main subjects of interest are:



·         Time series analysis 

·         Time series forecasting 

·         New approaches and models

·         Relations between classic statistical models and Computational Intelligence techniques

·         Time series applications in industry, science and others

·         Time Series Hybrid systems, their architectures and ways of integration of individual models

·         Advanced architectures of time series systems

·         Methods of testing of complex time series systems, applications to challenging problems

The session is not strictly limited to the above subjects. Every aspects of time series prediction are welcome. 



Submission guidelines



Please follow the regular submission guidelines of IJCNN 2012. Select the correct special session AND notify the chairs of your submission by sending email to: 

tbl at cin.ufpe.br  and  marley at ele.puc-rio.br





Program Committee (under construction)



Andre Carvalho, State University of São Paulo

Francisco Carvalho, Federal University of Pernambuco

Huanhuan Chen, University of Birmingham

Robert Golan, DBmind Technologies Inc.

Fernando Gomide, UNICAMP

Nikola Kasabov, Auckland University of Technology

Jose C. Principe, University of Florida

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